Author

Samata Chaudhuri

Max Planck Institute of Molecular Cell Biology and GeneticsORCID 0000-0003-4245-4302Unclaimed ORCID profile · follow to get notified of new preprints

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Bioinformatics· 1

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Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Organism:zebrafish· 1

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Anne EugsteriD· 1 shared Annekathrin Kränkel· 1 shared Gökmen ZararsıziD· 1 shared Halil BilginiD· 1 shared John E. ReidiD· 1 shared Nikolay NinoviD· 1 shared Selçuk KorkmaziD· 1 shared Sevina DietziD· 1 shared

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2018-2018 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Anne EugsterORCID

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1 paper

Recent·Most cited

BioinformaticsScientific ReportsPeer-reviewedNov 15, 2018

Machine learning based classification of cells into chronological stages using single-cell transcriptomics.

Sumeet Pal Singh, Sharan Janjuha, Samata Chaudhuri…·John E. Reid

This paper introduces GERAS, a machine learning framework that classifies single-cell transcriptomes into chronological stages with high accuracy and identifies aging-related factors in zebrafish and human pancreatic cells.

28 citations

zebrafishhuman

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