Author

Srividhya Sainath

Else Kröner Fresenius Center for Digital HealthORCID 0009-0006-6227-747XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Andreas MöckiD· 1 shared Chiara Maria Lavinia LoeffleriD· 1 shared Jakob Nikolas KatheriD· 1 shared Julien VibertiD· 1 shared Laura ŽigutytėiD· 1 shared Michaela UngeriD· 1 shared Stefan FröhlingiD· 1 shared Tim LenziD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Andreas MöckORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJan 6, 2025

End-to-end deep learning versus machine learning for biomarker discovery in cancer genomes

Michaela Unger, Chiara Maria Lavinia Loeffler, Julien Vibert…·Jakob Nikolas Kather

This study compares deep learning and machine learning for biomarker prediction in cancer genomes, finding DL performs better in cross-assay and data-sparse settings.

3 citations

humanwhole-exome sequencing

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