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Chen, J., Schwarz, K., Zang, Z., Braun, U., Harneit, A., Kremer, T., ... & Schwarz, E. (2021). Hyper-coordinated DNA methylation is altered in schizophrenia and associated with brain function. Schizophrenia Bulletin Open.
Chen, J., Cao, H., Kaufmann, T., Westlye, L. T., Tost, H., Meyer-Lindenberg, A., & Schwarz, E. (2020). Identification of Reproducible BCL11A Alterations in Schizophrenia Through Individual-Level Prediction of Coexpression. Schizophrenia Bulletin.
Chen, J., Zang, Z., Braun, U., Schwarz, K., Harneit, A., Kremer, T., ... & Schwarz, E. (2020). Association of a Reproducible Epigenetic Risk Profile for Schizophrenia With Brain Methylation and Function. JAMA psychiatry.
Chen, J., Cao, H., Meyer-Lindenberg, A. and Schwarz, E., 2018. Male increase in brain gene expression variability is linked to genetic risk for schizophrenia. Translational psychiatry, 8(1), p.140.
Chen, J., Lippold, D., Frank, J., Rayner, W., Meyer-Lindenberg, A. and Schwarz, E., 2018. Gimpute: an efficient genetic data imputation pipeline. Bioinformatics, 35(8), pp.1433-1435.
Chen, J. and Schwarz, E., 2017. BioMM: Biologically-informed Multi-stage Machine learning for identification of epigenetic fingerprints. arXiv preprint:1712.00336. (NeurIPS ML4H 2017)
Chen, J. and Schwarz, E., 2017. The role of blood-based biomarkers in advancing personalized therapy of schizophrenia. Expert Review of Precision Medicine and Drug Development, 2(6), pp.363-370.
Chen, J., Lutsik, P., Akulenko, R., Walter, J. and Helms, V., 2014. AKSmooth: Enhancing low-coverage bisulfite sequencing data via kernel-based smoothing. Journal of bioinformatics and computational biology, 12(06), p.1442005.
Bian, Yi, et al. Efficacy and Safety of Anticoagulation Treatment in COVID-19 Patient Subgroups Identified by Clinical-Based Stratification and Unsupervised Machine Learning: A Matched Cohort Study. Frontiers in medicine (2021).
Gass, Natalia, et al. Differential resting-state patterns across networks are spatially associated with Comt and Trmt2a gene expression patterns in a mouse model of 22q11. 2 deletion. NeuroImage (2021).
Schwarz, K., Moessnang, C., Schweiger, J. I., Harneit, A., Schneider, M., Chen, J., ... & Meyer-Lindenberg, A. (2021). Ventral striatal-hippocampus coupling during reward processing as a (stratification) biomarker for psychotic disorders. Biological Psychiatry.
Gass, N., Peterson, Z., Sartorius, A., Weber-Fahr, W., Reinwald, J. R., … Chen, J. ... & Nickl-Jockschat, T. (2021). Identifying Polygenic Contributions to Differential Resting-State Connectivity in a Mouse Model of 22q11. 2 Deletion. Biological Psychiatry.
Braun, U., Harneit, A., Pergola, G., … Chen, J. ... et al. (2021). Brain network dynamics during working memory are modulated by dopamine and diminished in schizophrenia. Nat Commun 12, 3478.
Schwarz, E., Aln?s, D., Andreassen, O. A., Cao, H., Chen, J., Degenhardt, F., ... & Herrmann, C. (2020). Identifying multimodal signatures underlying the somatic comorbidity of psychosis: the COMMITMENT roadmap. Molecular Psychiatry, 1-3.
Zhang, X., Braun, U., Harneit, A., Zang, Z., Geiger, L.S., Betzel, R.F., Chen, J., Schweiger, J.I., Schwarz, K., Reinwald, J.R. and Fritze, S., 2020. Generative network models of altered structural brain connectivity in schizophrenia. NeuroImage, p.117510.
Foo, J. C., Trautmann, N., Sticht, C., Treutlein, J., … Chen, J. …& Marcella Rietschel (2019). Longitudinal transcriptome-wide gene expression analysis of sleep deprivation treatment shows involvement of circadian genes and immune pathways. Translational psychiatry, 9(1), 1-10.
Peterson, R.E., Kuchenbaecker, K., Walters, R.K., Chen, C.Y., Popejoy, A.B., Periyasamy, S., Lam, M., Iyegbe, C., … Chen, J. ... and Carey, C.E., 2019. Genome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendations. Cell.
She, J., Yuan, Z., ..., Chen, J., and Kroll, J. (2018). Targeting erythropoietin protects against proteinuria in type 2 diabetic patients and in zebrafish. Molecular metabolism, 8, 189-202.
Cao, H., Chen, J., Meyer-Lindenberg, A. and Schwarz, E., 2017. A polygenic score for schizophrenia predicts glycemic control. Translational psychiatry, 7(12), pp.1-9.