Association of a reproducible epigenetic risk profile for schizophrenia with brain methylation and function J Chen, Z Zang, U Braun, K Schwarz, A Harneit, T Kremer, R Ma, ... JAMA psychiatry 77 (6), 628-636, 2020 | 68 | 2020 |
RMTL: an R library for multi-task learning H Cao, J Zhou, E Schwarz Bioinformatics 35 (10), 1797-1798, 2019 | 24 | 2019 |
A polygenic score for schizophrenia predicts glycemic control H Cao, J Chen, A Meyer-Lindenberg, E Schwarz Translational psychiatry 7 (12), 1295, 2017 | 24 | 2017 |
Comparative evaluation of machine learning strategies for analyzing big data in psychiatry H Cao, A Meyer-Lindenberg, E Schwarz International journal of molecular sciences 19 (11), 3387, 2018 | 23 | 2018 |
Ventral striatal–hippocampus coupling during reward processing as a stratification biomarker for psychotic disorders K Schwarz, C Moessnang, JI Schweiger, A Harneit, M Schneider, J Chen, ... Biological Psychiatry 91 (2), 216-225, 2022 | 13 | 2022 |
Male increase in brain gene expression variability is linked to genetic risk for schizophrenia J Chen, H Cao, A Meyer-Lindenberg, E Schwarz Translational Psychiatry 8 (1), 140, 2018 | 12 | 2018 |
Identification of reproducible BCL11A alterations in schizophrenia through individual-level prediction of coexpression J Chen, H Cao, T Kaufmann, LT Westlye, H Tost, A Meyer-Lindenberg, ... Schizophrenia bulletin 46 (5), 1165-1171, 2020 | 10 | 2020 |
dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning H Cao, Y Zhang, J Baumbach, PR Burton, D Dwyer, N Koutsouleris, ... Bioinformatics 38 (21), 4919-4926, 2022 | 7 | 2022 |
Differential resting-state patterns across networks are spatially associated with Comt and Trmt2a gene expression patterns in a mouse model of 22q11. 2 deletion N Gass, Z Peterson, J Reinwald, A Sartorius, W Weber-Fahr, M Sack, ... Neuroimage 243, 118520, 2021 | 7 | 2021 |
Identifying multimodal signatures underlying the somatic comorbidity of psychosis: the COMMITMENT roadmap E Schwarz, D Alnęs, OA Andreassen, H Cao, J Chen, F Degenhardt, ... Molecular Psychiatry 26 (3), 722-724, 2021 | 5 | 2021 |
Signal from noise: Using machine learning to distil knowledge from data in biological psychiatry TP Quinn, JL Hess, VS Marshe, MM Barnett, AC Hauschild, ... PsyArXiv, 2022 | 4 | 2022 |
TMDIM: an improved algorithm for the structure prediction of transmembrane domains of bitopic dimers H Cao, MCK Ng, SA Jusoh, HK Tai, SWI Siu Journal of Computer-Aided Molecular Design 31 (9), 855-865, 2017 | 4 | 2017 |
A primer on the use of machine learning to distil knowledge from data in biological psychiatry TP Quinn, JL Hess, VS Marshe, MM Barnett, AC Hauschild, ... Molecular psychiatry 29 (2), 387-401, 2024 | 3 | 2024 |
Opportunities and challenges of machine learning approaches for biomarker signature identification in psychiatry H Cao, E Schwarz Personalized Psychiatry, 117-126, 2020 | 3 | 2020 |
Dimensional reconstruction of psychotic disorders through multi-task learning H Cao | 1 | 2022 |
Hyper-coordinated DNA methylation is altered in schizophrenia and associated with brain function J Chen, K Schwarz, Z Zang, U Braun, A Harneit, T Kremer, R Ma, ... Schizophrenia Bulletin Open 2 (1), sgab036, 2021 | 1 | 2021 |
Image double encryption based on parametric discrete cosine transform H Cao, Y Zhou, CLP Chen 2013 IEEE International Conference of IEEE Region 10 (TENCON 2013), 1-4, 2013 | 1 | 2013 |
MTLComb: Multi-task learning combing regression and classification tasks with biomarker identification–an application to sepsis H Cao, S Rajan, B Hahn, M Brenner, F Hess, HA Lindner, D Durstewitz, ... Journal of Critical Care 81, 154548, 2024 | | 2024 |
MTLComb: multi-task learning combining regression and classification tasks for joint feature selection H Cao, S Rajan, B Hahn, E Kocak, D Durstewitz, E Schwarz, ... arXiv preprint arXiv:2405.09886, 2024 | | 2024 |
Advancing translational research in neuroscience through multi-task learning H Cao, X Hong, H Tost, A Meyer-Lindenberg, E Schwarz Frontiers in Psychiatry 13, 993289, 2022 | | 2022 |