Author

Akira Kunitomi

Gladstone InstitutesORCID 0000-0001-8310-067XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

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Alexis J. CombesiD· 1 shared Andrew C. YangiD· 1 shared Bumjoon Kim· 1 shared Chris Thompson· 1 shared Christina V. TheodorisiD· 1 shared Dereck M Phan· 1 shared Han CheniD· 1 shared Javier Gómez OrtegaiD· 1 shared

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2026-2026 · peak 1/yr

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Alexis J. CombesORCID

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1 paper

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

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