Author

Ramzan Umarov

Hiroshima University

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

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Research Focus:perturbation response prediction· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Erik ArneriD· 1 shared Yu LiiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Erik ArnerORCID

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1 paper

Recent·Most cited

DeepCellState: an autoencoder-based framework for prediction of cell type specific transcriptional states induced by drug treatment

Ramzan Umarov, Yu Li, Erik Arner

DeepCellState predicts cell type-specific transcriptional states after drug treatment using an autoencoder, showing improved accuracy over baselines and generalizing to new cell types and interventions.

bioRxiv · Dec 14, 2020 · PreprintBioinformatics