Combining Molecular and Physiological Data of Complex Disorders. - Emanuel Schwarz; F. Markus Leweke; Sabine Bahn; Pietro Liò (BIRD, 2008)

Clinical bioinformatics for complex disorders: a schizophrenia case study. - Emanuel Schwarz; F. Markus Leweke; Sabine Bahn; Pietro Liò (BMC Bioinform., 2009)

RMTL: an R library for multi-task learning. - Han Cao 001; Jiayu Zhou; Emanuel Schwarz (Bioinform., 2019)

Gimpute: an efficient genetic data imputation pipeline. - Junfang Chen; Dietmar Lippold; Josef Frank; William Rayner; Andreas Meyer-Lindenberg; Emanuel Schwarz (Bioinform., 2019)

Differential resting-state patterns across networks are spatially associated with Comt and Trmt2a gene expression patterns in a mouse model of 22q11.2 deletion. - Natalia Gass; Zeru Peterson; Jonathan Rochus Reinwald; Alexander Sartorius; Wolfgang Weber-Fahr; Markus Sack; Junfang Chen; Han Cao 001; Michael Didriksen; Tine Bryan Stensbøl; Gabrielle Klemme; Adam J. Schwarz; et al. (NeuroImage, 2021)

Generative network models of altered structural brain connectivity in schizophrenia. - Xiaolong Zhang; Urs Braun; Anais Harneit; Zhenxiang Zang; Lena S. Geiger; Richard F. Betzel; Junfang Chen; Janina I. Schweiger; Kristina Schwarz; Jonathan Rochus Reinwald; Stefan Fritze; Stephanie H. Witt; et al. (NeuroImage, 2021)

From mechanistic insight towards clinical implementation using normative modeling. - Thilo Rieg; Emanuel Schwarz (Nat. Comput. Sci., 2022)

dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning. - Han Cao 001; Youcheng Zhang; Jan Baumbach; Paul R. Burton; Dominic B. Dwyer; Nikolaos Koutsouleris; Julian O. Matschinske; Yannick Marcon; Sivanesan Rajan; Thilo Rieg; Patricia Ryser-Welch; Julian Späth; et al. (Bioinform., 2022)

BioM2: biologically informed multi-stage machine learning for phenotype prediction using omics data. - Shunjie Zhang; Pan Li; Shenghan Wang; Jijun Zhu; Zhongting Huang; Fuqiang Cai; Sebastian Freidel; Fei Ling; Emanuel Schwarz; Junfang Chen (Briefings Bioinform., 2024)

MTLComb: multi-task learning combining regression and classification tasks for joint feature selection. - Han Cao 001; Sivanesan Rajan; Bianka Hahn; Ersoy Kocak; Daniel Durstewitz; Emanuel Schwarz; Verena Schneider-Lindner (CoRR, 2024)

dsLassoCov: a federated machine learning approach incorporating covariate control. - Han Cao; Augusto Anguita; Charline Warembourg; Xavier Escriba-Montagut; Martine Vrijheid; Juan R. González; Tim Cadman; Verena Schneider-Lindner; Daniel Durstewitz; Xavier Basagaña; Emanuel Schwarz (CoRR, 2024)