Author

S. M. Minhaz Ud-Dean

Columbia University

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Systems Biology· 1

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Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

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Nan Papili GaoiD· 1 shared Olivier GandrilloniD· 1 shared Rudiyanto GunawaniD· 1 shared

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2017-2017 · peak 1/yr

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Nan Papili GaoORCID

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Recent·Most cited

Systems BiologyBioinformaticsPeer-reviewedSep 13, 2017

SINCERITIES: Inferring gene regulatory networks fromtime-stamped single cell transcriptional expression profiles

Nan Papili Gao, S. M. Minhaz Ud-Dean, Olivier Gandrillon, Rudiyanto Gunawan

SINCERITIES infers gene regulatory networks from time-stamped single-cell expression data, showing better accuracy than existing methods in simulated and experimental datasets.

235 citationstop 4%

humanscRNA-seq

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