MCML Researchers in Highly-Ranked Journals

Nine Papers in 2020 Highlight Scientific Impact

We are happy to announce that MCML researchers are represented in 2020 with nine papers in highly-ranked journals. Congrats to our researchers!

M. Lotfollahi • M. Naghipourfar • F. J. Theis • F. A. Wolf
Conditional out-of-distribution generation for unpaired data using transfer VAE.
Bioinformatics 36.Supplement 2. Dec. 2020. DOI

S. Klau • M.-L. Martin-Magniette • A.-L. Boulesteix • S. Hoffmann
Sampling uncertainty versus method uncertainty: a general framework with applications to omics biomarker selection.
Biometrical Journal 62.3. May. 2020. DOI

M. Herrmann • P. Probst • R. Hornung • V. Jurinovic • A.-L. Boulesteix
Large-scale benchmark study of survival prediction methods using multi-omics data.
Briefings in Bioinformatics 22.3. Aug. 2020. DOI

J. Kranich • N.-K. Chlis • L. Rausch • A. Latha • M. Schifferer • T. Kurz • A. F.-A. Kia • M. Simons • F. J. Theis • T. Brocker
In vivo identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning.
Journal of Extracellular Vesicles 9.1. Jul. 2020. DOI

D. S. Fischer • Y. Wu • B. Schubert • F. J. Theis
Predicting antigen specificity of single T cells based on TCR CDR3 regions.
Molecular Systems Biology 16.8. Aug. 2020. DOI

V. Bergen • M. Lange • S. Peidli • F. A. Wolf • F. J. Theis
Generalizing RNA velocity to transient cell states through dynamical modeling.
Nature Biotechnology 38. Aug. 2020. DOI

S. Sachs • A. Bastidas-Ponce • S. Tritschler • M. Bakhti • A. Böttcher • M. A. Sánchez-Garrido • M. Tarquis-Medina • M. Kleinert • K. Fischer • S. Jall • A. Harger • E. Bader • S. Roscioni • S. Ussar • A. Feuchtinger • B. Yesildag • A. Neelakandhan • C. B. Jensen • M. Cornu • B. Yang • B. Finan • R. D. DiMarchi • M. H. Tschöp • F. J. Theis • S. M. Hofmann • T. D. Müller • H. Lickert
Targeted pharmacological therapy restores β-cell function for diabetes remission.
Nature Metabolism 2. Feb. 2020. DOI

N.-K. Chlis • L. Rausch • T. Brocker • J. Kranich • F. J. Theis
Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning.
Nucleic Acids Research 48.20. Nov. 2020. DOI

C. Stachl • Q. Au • R. Schoedel • S. D. Gosling • G. M. Harari • D. Buschek • S. T. Völkel • T. Schuwerk • M. Oldemeier • T. Ullmann • H. Hussmann • B. Bischl • M. Bühner
Predicting personality from patterns of behavior collected with smartphones.
Proceedings of the National Academy of Sciences 117.30. Jul. 2020. DOI

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2020-01-02 - Last modified: 2020-01-02

MCML Researchers in Highly-Ranked Journals

Nine Papers in 2020 Highlight Scientific Impact

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