Author

Sara Lichtarge

Gladstone InstitutesORCID 0009-0009-0603-9997Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:gene regulatory network inference· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Akira KunitomiiD· 1 shared Alexis J. CombesiD· 1 shared Andrew C. YangiD· 1 shared Avinash RamuiD· 1 shared Barak A. CoheniD· 1 shared Bumjoon Kim· 1 shared Chris Thompson· 1 shared Christina V. TheodorisiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Akira KunitomiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 1, 2026

Temporal AI model predicts drivers of cell state trajectories across human aging

Javier Gómez Ortega, Rangarajan D. Nadadur, Akira Kunitomi…·Christina V. Theodoris

The paper introduces a temporal AI model, MaxToki, trained on extensive gene data to predict cell state changes across human aging and identifies age-modulating targets.

1 citation

humanbulk RNA-seq

𝕏 PostBluesky

GenomicsCell SystemsPeer-reviewedJan 1, 2025

Active learning of enhancer and silencer regulatory grammar in a developing neural tissue

Ryan Z. Friedman, Avinash Ramu, Sara Lichtarge…·Michael A. White

The paper uses active learning to improve models of enhancer and silencer activities in mouse retina, achieving better discrimination between functionally distinct TF binding sites.

18 citations

mouseDNA methylation

𝕏 PostBluesky