Applications and tailor-made methods

Applications and tailor-made methods

Neuroscience

• J. Ji, Z. Zhang, L. Han, J. Liu. MetaCAE: Causal autoencoder with meta-knowledge transfer for brain effective connectivity estimation. Computers in Biology and Medicine, 170: 107940, 2024.
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• S. Chiyohara, J. Furukawa, T. Noda, J. Morimoto, and H. Imamizu. Proprioceptive short-term memory in passive motor learning. Scientific Reports, 13: 20826, 2023.
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• Z. Xia, T. Zhou, S. Mamoon, A. Alfakih, J. Lu A Structure-guided Effective and Temporal-lag Connectivity Network for Revealing Brain Disorder Mechanisms.  Arxiv preprint arXiv:2212.00555, 2022.
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• V. Lam, R. Clarnette, R. Francis, M. Bynevelt, G. Watts, L. Flicker, C. F. Orr, P. Loh, N. Lautenschlager, C. M. Reid, J. K. Foster, S. S Dhaliwal, S. Robinson, E. Corti, M. Vaccarezza, B. Horgan, R. Takechi, and J. Mamo. Efficacy of probucol on cognitive function in Alzheimer’s disease: study protocol for a double-blind, placebo-controlled, randomised phase II trial (PIA study). BMJ Open, 12(2): e058826, 2022.
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• K. Bo,  S. Yin,  Y. Liu,  Z. Hu,  S. Meyyappan,  S. Kim, A. Keil,  M. Ding. Decoding Neural Representations of Affective Scenes in Retinotopic Visual Cortex. Cerebral Cortex, bhaa411, 2021.
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• G. Zhang, A. Zhang, B. Cai, Z. Tu, V. D. Calhoun, Y. P. Wang. Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model.  Arxiv preprint arXiv:2010.13029, 2022.
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• T. Ogawa, H. Shimobayashi, J. Hirayama, M. Kawanabe. Asymmetric effective connectivity within frontoparietal motor network underlying motor imagery and motor execution. bioRxiv 2020.10.22.3511068.
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• R. Tu, K. Zhang, B. C. Bertilson, H.  Kjellstöm, C,  Zhang. Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation. In Advances in Neural Information Processing Systems 33 (NIPS2019), pp. xx-xx, 2019.
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• V. Fleischer, M. Muthuraman, A. R. Anwar, G. Gonzalez-Escamilla, A. Radetz, R.-M. Gracien, S. Bittner, F. Luessi, S. G. Meuth, F.  Zipp, and S. Groppa  . Continuous reorganization of cortical information flow in multiple sclerosis: A longitudinal fMRI effective connectivity study. Scientific Reports, 10: 806, 2020.
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• A. Zhang, G. Zhang, B. Cai, T. W. Wilson, J. M. Stephen, V. D. Calhoun, Y.-P. Wang. A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence. Arxiv preprint arXiv:2006.12618, 2020. 
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• A. Zhang, G. Zhang, B. Cai, W. Hu, L. Xiao, T. W. Wilson, J. M. Stephen, V. D. Calhoun, Y.-P. Wang. Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM). Arxiv preprint arXiv:2006.09536, 2020. 
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• B. Huang, K. Zhang, R. Sanchez-Romero, J. Ramsey, M. Glymour, C. Glymour. Diagnosis of Autism Spectrum Disorder by Causal Influence Strength Learned from Resting-State fMRI Data. Arxiv preprint arXiv:1902.10073, 2019. 
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• J. Ji, J. Liu, A. Zou, A. Zhang. ACOEC-FD: Ant Colony Optimization for Learning Brain Effective Connectivity Networks From Functional MRI and Diffusion Tensor Imaging. Frontiers in Neuroscience, 13: 1290, 2019.
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• R. Sanchez-Romero, J. D. Ramsey, K. Zhang, M. R. K. Glymour, B. Huang, and C. Glymour. Estimating feedforward and feedback effective connections from fMRI time series: Assessments of statistical methods. Network Neuroscience, pp. xx--xx, 2018.
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• R. Sanchez-Romero, J. D. Ramsey, K. Zhang, M. R. K. Glymour, B. Huang, and C. Glymour. Causal discovery of feedback networks with functional magnetic resonance imaging. bioRxiv 245936, 2018.
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• C. Mills-Finnerty, C. Hanson, S. J. Hanson. Brain network connectivity underlying decisions between the" lesser of two evils". PeerJ Preprints 5:e3340v1, 2017.
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• N. Bielczyk, A. Llera, J. Buitelaar, J. Glennon, and C. Beckmann. Momentum: a new approach to causality in functional Magnetic Resonance Imaging. Arxiv preprint arXiv:1606.08724, 2016.
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• A. Manelis, J. R. C. Almeida, R. Stiffler, J. C. Lockovich, H. A. Aslam, and M. L. Phillips. Anticipation-related brain connectivity in bipolar and unipolar depression: a graph theory approach. Brain, pp. xx--xx, 2016.
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• I. Hettiarachchi, S. Mohamed, S. Nahavandi, and S. Nahavandi. Application of extended multivariate modeling for information flow analysis of event related responses. In Proc. 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC2015), pp. 1845-1851, Kowloon Tong, Hong Kong, 2015.
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• Y. Liu, X. Wu, J. Zhang, X. Guo, Z. Long, and L. Yao. Altered effective connectivity model in the default mode network between bipolar and unipolar depression based on resting-state fMRI. Journal of Affective Disorders, xx: xx--xx, 2015. 
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• J. M. Spielberg, R. E. McGlinchey and W. P. Milberg and D. H. Salat. Brain network disturbance related to posttraumatic stress & traumatic brain injury in veterans. Biological Psychiatry, xx: xx--xx, 2015. 
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• E. Dobryakova, O. Boukrina and G. R Wylie. Investigation of information flow during a novel working memory task in individuals with traumatic brain injury. Brain Connectivity, xx: xx--xx, 2015.
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• C. Mills-Finnerty, C. Hanson and S. J. Hanson. Brain network response underlying decisions about abstract reinforcers. NeuroImage, 103: 48--54, 2014.
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• L. Xu, T. Fan, X. Wu, K. Chen, X. Guo, J. Zhang and L. Yao. A pooling-LiNGAM algorithm for effective connectivity analysis of fMRI data. Frontiers in Computational Neuroscience, 8:125, 2014.
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• L. Schiatti, G. Nollo, G. Rossato and L. Faes. Investigating cardiovascular and cerebrovascular variability in postural syncope by means of extended Granger causality. In Proc. 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO2014), pp.43-44, Trento, Italy, 2014.
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• A. Manelis and L. M. Reder. Effective connectivity among the working memory regions during preparation for and during performance of the n-back task. Frontiers in Human Neuroscience, 8:593, 2014.
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• J. D. Ramsey, R. Sanchez-Romero and C. Glymour. Non-Gaussian methods and high-pass filters in the estimation of effective connections. NeuroImage, 84(1): 986--1006, 2014.
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• O. Boukrina and W. W. Graves. Neural networks underlying contributions from semantics in reading aloud. Frontiers in Human Neuroscience, 7:518, 2013.
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• D. A. Dawson, K. Cha, L. B. Lewis, J. D. Mendola, A. Shmuel. Evaluation and calibration of functional network modeling methods based on known anatomical connections. NeuroImage, 67: 331-343, 2013.
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• J. D. Ramsey, S. J. Hanson and C. Glymour. Multi-subject search correctly identifies causal connections and most causal directions in the DCM models of the Smith et al. simulation study. NeuroImage, 58(3): 838--848, 2011.
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• S. M. Smith, K. L. Miller, G. Salimi-Khorshidi, M. Webster, C. F. Beckmann, T. E. Nichols, J. D. Ramsey and M. W. Woolrich. Network modelling methods for FMRI. NeuroImage, 54(2): 875--891, 2011.
  [pdf] [simulated fMRI data] [Google scholar]

Economics/Finance/Marketing

• D. Takahashi, S. Shimizu, and T. Tanaka. Counterfactual explanations of black-box machine learning models using causal discovery with applications to credit rating. In Proc. Int. Joint Conf. on Neural Networks (IJCNN2024), part of the 2024 IEEE World Congress on Computational Intelligence (WCCI2024), pages xx--xx, Yokohama, Japan, 2024. Accepted.
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• F. Montoya and H. Astudillo. Causal Graph: Interpretation of Causal Relationships in Temporary Deviations of Business Processes. In Proc. 2023 XLIX Latin American Computer Conference (CLEI), 2023.
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• R. Taguchi, H. Sakaji, K. Izumi, Y. Murayama. Asset Allocation Method Based on Sentiment Signals and Causal Information using Multi-asset Classes. International Journal of Smart Computing and Artificial Intelligence, 7(2): IJSCAI827, 2023.
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• X. Xu, Y. Zhang. Contemporaneous causality among office property prices of major Chinese cities with vector error correction modeling and directed acyclic graphs. Journal of Modelling in Management, xx(xx): xx–xx, 2023.
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• Y. Jiang and S. Shimizu. Linkages among the Foreign Exchange, Stock, and Bond Markets in Japan and the United States. In Proc. Causal Analysis Workshop 2023 (CAWS2023), PMLR xx:xx-xx, 2023.  
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• K. Duangnate, J. W. Mjelde. Changing Regional Price Relationships in Retail Fresh Broiler/Fryer Whole Chicken Prices. Journal of Agricultural and Applied Economics, xx(xx): xx–xx, 2023.
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• F. Cordoni, N. Dorémus, A. Moneta. Identification of Vector Autoregressive Models with Nonlinear Contemporaneous Structure. LEM WORKING PAPER SERIES, 2023.
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• M. de Mier, F. Delbianco, F. Tohmé, L. Patrizio, F. Rodriguez, M. R. Stéfani. Causality by Vote: Aggregating Evidence on Causal Relations in Economic Growth Processes. Working Papers 260, Red Nacional de Investigadores en Economía (RedNIE), 2023.
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• X. Xu, Y. Zhang. An integrated vector error correction and directed acyclic graph method for investigating contemporaneous causalities. International Mineral Economics, xx(xx): xx–xx, 2023.
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• X. Xu, Y. Zhang. An integrated vector error correction and directed acyclic graph method for investigating contemporaneous causalities. International Journal of Real Estate Studies, 17(1): 148–157, 2023.
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• T. Ciarli, A. Coad, A. Moneta. Does exporting cause productivity growth? Evidence from Chilean firms. Structural Change and Economic Dynamics, xx(xx): xx-xx, 2023.
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• X. Xu, Y. Zhang. An integrated vector error correction and directed acyclic graph method for investigating contemporaneous causalities. Decision Analytics Journal, 7(xx): xx-xx, 2023.
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• S. Lee and S. Lee. Statistical process monitoring for vector autoregressive time series based on location-scale CUSUM method. Journal of Statistical Computation and Simulation, xx(xx): xx-xx, 2022.
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• T. Yoshihara, T. Kaizoji. The Evolving Causal Structure of Equity Risk Factors. Arxiv preprint arXiv:2211.16176, 2022.
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• B. D. Deaton. Foreign exchange market linkages, 2017-2019. International Journal of Accounting, Economics & Finance Perspectives. 2(1): 68-83, 2022.
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• X. Xu & Y. Zhang. Contemporaneous causality among residential housing prices of ten major Chinese cities. International Journal of Housing Markets and Analysis, xx(x): xx-xx, 2022.
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• X. Xu & Y. Zhang. Contemporaneous causality among one hundred Chinese cities. Empirical Economics, xx(x): xx-xx, 2022.
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• G. D'Acunto, P. Bajardi, F. Bonchi, G. D. F. Morales. The Evolving Causal Structure of Equity Risk Factors. Arxiv preprint arXiv:2111.05072, 2021.
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• T. Moriyama, M. Kuwano. Causal inference for contemporaneous effects and its application to tourism product sales data. Journal of Marketing Analytics, xx(x): xx-xx, 2021.
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• S. B. Bruns, A. Moneta, D. Stern. Estimating the economy-wide rebound effect using empirically identified structural vector autoregressions. Energy Economics, xx(x): xx-xx, 2021.
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• H. Ohmura. The connection between stock market prices and political support: evidence from Japan. Applied Economics Letters, xx(x): xx-xx, 2020.
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• J. Luo and Q. Zhang. Risk contagions between global oil markets and China’s agricultural commodity markets under structural breaks. Applied Economics, xx(x): xx-xx, 2020.
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• B. D. Deaton. The JPY/AUD Carry Trade and Its Causal Linkages to Other Markets. Journal of Applied Business and Economics xx(x): xx-xx, 2020.
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• E. Brancaccio, A. Moneta, M. Lopreite, A. Califano. Nonperforming Loans and Competing Rules of Monetary Policy: a Statistical Identification Approach. Structural Change and Economic Dynamics, xx(x): xx-xx, 2020.
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• S. B. Bruns, A. Moneta, D. I. Stern. Estimating the Economy-Wide Rebound Effect Using Empirically Identified Structural Vector Autoregressions. LEM WORKING PAPER SERIES: 2019/27, 2019.
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• T. Ciarli, A. Coad, A. Moneta. Exporting and productivity as part of the growth process: Causal evidence from a data-driven structural VAR. LEM WORKING PAPER SERIES: 2019/39, 2019.
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• G. Ecchia, F. Gagliardi, C. Giannetti. SOCIAL INVESTMENT AND YOUTH LABOR MARKET PARTICIPATION. Contemporary Economic Policy, xx(x): xx-xx, 2019.
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• X. Xu. Contemporaneous Causal Orderings of CSI300 and Futures Prices through Directed Acyclic Graphs. Economics Bulletin, 39(3): 2052-2077, 2019.
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• K. H. Al-yahyaee, A. K. Tiwari, I. M. W. Al-Jarrah, W. Mensi. Testing for the Granger-causality between returns in the U.S. and GIPSI stock markets. Physica A: Statistical Mechanics and its Applications, xx(xx): xx-xx, 2019.
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• X. Xu. Contemporaneous and Granger causality among US corn cash and futures prices. European Review of Agricultural Economics, xx(xx): xx-xx, 2018.
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• G. Castañeda, F. Chávez-Juárez, O. A.Guerrero. How do governments determine policy priorities? Studying development strategies through spillover networks. Journal of Economic Behavior & Organization, xx(xx): xx, 2018. 
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• O. Guerrero and G. Castañeda. The Resilience of Public Policies in Economic Development. Complexity, xx(xx): xx, 2018. 
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• B. D. Deaton. Effects of the Swiss Franc/Euro exchange rate floor on the calibration of probability forecasts. Forecasting, 1(1): 2, 2018. 
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• J. Chen, S. Kibriya, D. Bessler, and E. Price. The relationship between conflict events and commodity prices in Sudan. Journal of Policy Modeling, xx(xx): xx-xx, 2018. 
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• R. Guo, L. Cheng, J. Li, P. R.  Hahn, H. Liu. A Survey of Learning Causality with Data: Problems and Methods. Arxiv preprint arXiv:1809.09337, 2018.
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• H. Herwartz. Hodges–Lehmann detection of structural shocks – An analysis of macroeconomic dynamics in the Euro area. Oxford Bulletin of Economics and Statistics, xx(xx): xx-xx, 2018. 
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• M. Guerini, A. Moneta, M. Napoletano, and A. Roventini. The Janus-faced nature of debt: results from a data-driven cointegrated SVAR approach. xx, 2017.
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• G. Fagiolo, M. Guerini, F. Lamperti, A. Moneta, and A. Roventini. Validation of agent-based models in economics and finance. LEM WORKING PAPER SERIES: 2017/23, 2017.
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• M-K. Kim, H. Tejeda, and T. E. Yu. U.S. milled rice markets and integration across regions and types. International Food and Agribusiness Management Review, xx(xx): xx-xx, 2017.
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• A. Coad, M. Cowling, and J. Siepel. Growth processes of high-growth firms as a four-dimensional chicken and egg. Industrial and Corporate Change, dtw040, 2017.
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• W. Huang, P.-C. Lai, and D. A. Bessler. On the changing structure among Chinese equity markets: Hong Kong, Shanghai, and Shenzhen. European Journal of Operational Research, xx(xx): xx-xx, 2017.
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• P. Puonti. Fiscal multipliers in a structural VEC model with mixed normal errors. Journal of Macroeconomics, 48: 144-154, 2016.
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• X. Xu. Contemporaneous causal orderings of US corn cash prices through directed acyclic graphs. Empirical Economics, xx(xx): xx-xx, 2016.
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• S. Zhao, Y. Tong, X. Liu, and S. Tan. Correlating Twitter with the stock market through non-Gaussian SVAR. In Proc. 8th International Conference on Advanced Computational Intelligence (ICACI2016), pp. 257-264, Chiang Mai, Thailand, 2016.
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• T. Brenner and M. Duscshl. Causal dynamic effects in regional systems of technological activities: a SVAR approach. The Annals of Regional Science, xx(xx): xx-xx, 2015.
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• P.-C. Lai and D. A. Bessler. Price discovery between carbonated soft drink manufacturers and retailers: A disaggregate analysis with PC and LiNGAM algorithms. Journal of Applied Economics, 18(1): 173-197, 2015.
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• J.-C. Bizimana, J. P. Angerer, D. A. Bessler and F. Keita. Cattle markets integration and price discovery: The case of Mali. Journal of Development Studies, 51(3): 319-334, 2015.
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• A. Coad and M. Binder. Causal linkages between work and life satisfaction and their determinants in a structural VAR approach. Economics Letters, 124(2): 263-268, 2014.
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• A. Coad, M. Cowling, and J. Siepel. Growth processes of high-growth firms in the UK. NESTA working paper 12/10, 2012.
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• Z. Gao, Z. Wang, L. Wang. and S. Tan. Linear non-Gaussian causal discovery from a composite set of major US macroeconomic factors. Expert Systems with Applications, 39(12): 10867--10872, 2012.
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• E. Ferkingsta, A. Lølanda and M. Wilhelmsen. Causal modeling and inference for electricity markets. Energy Economics, 33(3): 404--412, 2011.
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• A. Moneta, D. Entner, P. O. Hoyer and A. Coad. Causal inference by independent component analysis: Theory and applications. Oxford Bulletin of Economics and Statistics, 75(5): 705-730, 2013.
  [pdf] [code] [Google scholar]

• Z. Wang and S. Tan. Automatic linear causal relationship identification for financial factor modeling. Expert Systems with Applications, 36(10): 12441--12445, 2009.
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Epidemiology

• R. Mojtabai. Problematic Social Media Use and Internalizing Symptoms in Adolescents. Journal of Policy Modeling, xx(xx): xx-xx, 2023.
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• E. L. Barrera and D. Miljkovic. The link between the two epidemics provides an opportunity to remedy obesity while dealing with Covid-19. Journal of Policy Modeling, xx(xx): xx-xx, 2022.
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• R García-Velázquez, M. Jokela, T. H. Rosenström. Direction of Dependence Between Specific Symptoms of Depression: A Non-Gaussian Approach. Clinical Psychological Science, xx(xx): xx-xx, 2019.
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• H. Helajärvi, T. Rosenström, K. Pahkala, M. Kähönen, T. Lehtimäki, O. J. Heinonen, M. Oikonen, T. Tammelin, J. S. A. Viikari and O. T. Raitakari. Exploring causality between TV viewing and weight change in young and middle-aged adults. The cardiovascular risk in young Finns study. PLoS ONE, 9(7): e101860, 2014.
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• T. Rosenström, M. Jokela, S. Puttonen, M. Hintsanen, L. Pulkki-Råback, J. S. Viikari, O. T. Raitakari and L. Keltikangas-Järvinen. Pairwise measures of causal direction in the epidemiology of sleep problems and depression. PLoS ONE, 7(11): e50841, 2012.
  [pdf] [WLS data] [Google scholar]

Psychology

• T. H. Rosenström, N. O. Czajkowski, O. A. Solbakken, S. E. Saarni. Direction of dependence analysis for pre-post assessments using non-Gaussian methods: a tutorial. Psychotherapy Research, 2023.
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• T. Itahashi, N. Okada, S. Ando, S. Yamasaki, D. Koshiyama, K. Morita, N. Yahata, S. Koike, A. Nishida, K. Kasai, R. Hashimoto. Functional connectome linking child-parent relationships with psychological problems in adolescence. bioRxiv 678714, 2019.  
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• A. von Eye and R. P. DeShon. Decisions concerning directional dependence. International Journal of Behavioral Development, 36(4): 323-326, 2012.
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• S. Pornprasertmanit and T. D. Little. Determining directional dependency in causal associations. International Journal of Behavioral Development, 36(4): 313-322, 2012.
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• A. von Eye and R. P. DeShon. Directional dependence in developmental research. International Journal of Behavioral Development, 36(4): 303-312, 2012.
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• Y. Takahashi, K. Ozaki, B. W. Robert and J. Ando. Can low behavioral activation system predict depressive mood?: An application of non-normal structural equation modeling. Japanese Psychological Research, 54(2): 170-181, 2012.
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Chemistry

• NEW J. Luo, Z. Jin, H. Jin, Q. Li, X. Ji, Y. Dai. Causal temporal graph attention network for fault diagnosis of chemical processes. Chinese Journal of Chemical Engineering, xx(xx): xx-xx, 2024.
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• P. Campomanes, M. Neri, B. A.C. Horta, U. F. Roehrig, S. Vanni, I. Tavernelli and U. Rothlisberger. Origin of the spectral shifts among the early intermediates of the rhodopsin photocycle. Journal of the American Chemical Society, 136(10): 3842-3851, 2014.
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Others

• NEW Q. Zhang, Z. Ma, Y. Ling, Z. Qin, P. Zhang, Z. Zhao. Causal Graph Discovery for Urban Bus Operation Delays: A case in Stockholm. The 103rd Transportation Research Board (TRB) Annual Meeting, January 7–11, 2024, Washington, DC, USA, 2024.
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• NEW Y. Tamura, Y. Takai, H. Miyamoto, L. SeokHyun, Y. Liu, X. Qiu d, l. J. Kang, Y. Simasaki, C. Shindo, W. Suda, H. Ohno, Y. Oshima. Alteration of shoaling behavior and dysbiosis in the gut of medaka (Oryzias latipes) exposed to 2-μm polystyrene microplastics. Chemosphere, 353: 141643, 2024.
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• NEW L. Giamattei, A. Guerriero, I. Malavolta, C. Mascia, R. Pietrantuono, S. Russo. Identifying Performance Issues in Microservice Architectures through Causal Reasoning. 5th ACM/IEEE International Conference on Automation of Software Test (AST 2024), 2024.
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• NEW T. Nagase, A. O. N. Rene, K. Okuhara. Causal Discovery from Psychological States to Walking Behaviors for Pedestrians Interacting an APMV Equipped with eHMIs. ICIC Express Letters, Part B: Applications, 14(5): 475-482, 2024.
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• NEW H. Liu, Y. Li, T. Hiraoka, T. Wada. Causal Discovery from Psychological States to Walking Behaviors for Pedestrians Interacting an APMV Equipped with eHMIs. xx, 2024.
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• NEW B. Youngmann , M. Cafarella, A. Gilad, S. Roy. Summarized Causal Explanations For Aggregate Views. Proceedings of the ACM on Management of Data, 21(1): Article No.: 71, 2024.
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• NEW 谷岡 広樹, 佐藤 充宏, 柘植 竜治. サッカースクールにおける楽しさに関するアンケート分析と因果探索. 情報処理学会論文誌デジタルプラクティス, 4(3): 74-87, 2024.
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• NEW M. Iatrou, M. Tziouvalekas, A. Tsitouras, E. Evangelou, C. Noulas, D. Vlachostergios, V. Aschonitis, G. Arampatzis, I. Metaxa, C. Karydas, and P. Tziachris. Analyzing the Impact of Storm 'Daniel'and Subsequent Flooding on Thessaly's Soil Chemistry through Causal Inference. Agriculture, 14, 549, 2024.
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• K. Ito, H. Miyamoto, M. Matsuura, C. Ishii, Y. Nakanishi, W. Suda, T. Satoh, F. Honda, A. Kurotani, N. Tsuji, T. Nakaguma, C. Shindo, T. Ito, R. Michibata, R. Yamada, Y. Takahashi, H. Kodama, J. Kikuchi, H. Ohno. A thermoprotective probiotic function by thermostable lactic acid bacteria and its causal structure. Journal of Functional Foods, 113: 106001, 2024.
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• M. Q. Siow, Y. S. Kim, M. J. Noh, M. M. C. Han. Exploring the Impact of Pesticide Usage on Crop Condition: A Causal Analysis of Agricultural Factors. Smart Media Journal, 12(10): ISSN:2287-1322, 2023.
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• K. Feng, H. Jiang, C. Yin, H. Sun. Gene regulatory network inference based on causal discovery integrating with graph neural network. Quantitative Biology, 11(4): 434-450, 2023.
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• A. Kurotani, H. Miyamoto, J. Kikuchi. Validation of causal inference data using DirectLiNGAM in an environmental small-scale model and calculation settings. MethodsX, 102528, 2024.
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• F. Fournier, L. Limonad, I. Skarbovsky, Y. David. The WHY in Business Processes: Discovery of Causal Execution Dependencies. arXiv:2310.14975, 2023.
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• A. Koshida, S. Karashima, K. Ogura, Y. Miyajima, K. Ogai, R. Mizoguchi, Y. Ikagawa, S. Hara, I. Mizushima, H. Fujii, M. Kawano, H. Tsujiguchi, A. Hara, H. Nakamura, and S. Okamoto. Impact of gut microbiome on serum IgG4 levels in the general population: Shika-machi super preventive health examination results. Frontiers in Cellular and Infection Microbiology, 13:1272398, 2023.
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