Author

Alexander J. Ohnmacht

Helmholtz MunichORCID 0000-0002-1481-9426Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:drug response / drug discovery· 2 Approach:deep learning· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Michael P. MendeniD· 2 shared Daksh P.S. Pamar· 1 shared Daniel KrappmanniD· 1 shared Diyuan LuiD· 1 shared Ginte KutkaiteiD· 1 shared Göksu AvariD· 1 shared Marisa K. Schübel· 1 shared Thomas J. O’NeilliD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Michael P. MendenORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 15, 2024

Enhancing Gene Expression Representation and Drug Response Prediction with Data Augmentation and Gene Emphasis

Diyuan Lu, Daksh P.S. Pamar, Alexander J. Ohnmacht…·Michael P. Menden

This paper introduces GExMix, a data augmentation method for gene expression data, which improves drug response prediction by enhancing representation learning and prioritizing gene-centric information.

DOI 10.1101/2024.05.15.592959

bulk RNA-seqdeep learning

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Cancer BiologybioRxivPreprintJan 16, 2024

The pharmacogenomic assessment of molecular epithelial-mesenchymal transition signatures reveals drug susceptibilities in cancer cell lines

Alexander J. Ohnmacht, Göksu Avar, Marisa K. Schübel…·Michael P. Menden

The paper assesses molecular EMT signatures in cancer cell lines to identify drug susceptibilities, showing EMT can predict responses to HSP90 inhibitors and enhance drug sensitivity through TGF-β stimulation.

2 citations

humanbulk RNA-seq

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