Author

Tess A. Marvin

Princeton University

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Biology Disciplines

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Bioinformatics· 1

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Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:long-read sequencing· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Aviya LitmaniD· 1 shared Chandra L. TheesfeldiD· 1 shared Christopher Y. Park· 1 shared Joyce Fang· 1 shared Ksenia SokolovaiD· 1 shared Natalie SauerwaldiD· 1 shared Olga G. TroyanskayaiD· 1 shared Zhicheng Pan· 1 shared

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2026-2026 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Aviya LitmanORCID

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1 paper

Recent·Most cited

Variant-resolved prediction of context-specific isoform variation with a graph-based attention model

Aviya Litman, Zhicheng Pan, Ksenia Sokolova, Joyce Fang, Tess A. Marvin, Natalie Sauerwald, Christopher Y. Park, Chandra L. Theesfeld, Olga G. Troyanskaya

Otari predicts tissue-specific isoform abundance changes caused by genetic variants using a graph-based attention model trained on genomic and long-read transcriptome data.

Cell Genomics · Jan 16, 2026Peer-reviewedBioinformatics