Author

Piyush Mathur

Indian Institute of Technology Jodhpur

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Organism:human· 1 Assay:proteomics· 1 Research Focus:software / tool· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

André FrankeiD· 1 shared Andreas TholeyiD· 1 shared Ann-Kristin Kamps· 1 shared Christian Hentschker· 1 shared Christoph Prieß· 1 shared David EllinghausiD· 1 shared Frauke C. DegenhardtiD· 1 shared Hesham ElAbdiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

André FrankeORCID

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1 paper

Recent·Most cited

Predicting Peptide HLA-II Presentation Using Immunopeptidomics, Transcriptomics and Deep Multimodal Learning

Hesham ElAbd, Mareike Wendorff, Tomáš Koudelka, Christian Hentschker, Ann-Kristin Kamps, Christoph Prieß, Lars Wienbrandt, Frauke C. Degenhardt, Tim Alexander Steiert, Petra Bächer, Piyush Mathur, David Ellinghaus, Uwe Völker, Andreas Tholey, Tobias L. Lenz, André Franke

The paper develops PIA-M, a multimodal transformer-based tool for predicting HLA-II peptide presentation, achieving higher accuracy and faster runtime than existing methods.

bioRxiv · Sep 20, 2022 · PreprintBioinformatics