Author

Wenhao Tang

Imperial College LondonORCID 0000-0002-4063-0846Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Assay:scRNA-seq· 3 Research Focus:differential expression· 2 Organism:yeast· 2 Research Focus:batch correction / integration· 1 Approach:Bayesian inference· 1 Research Focus:gene regulatory network inference· 1 Research Focus:imputation· 1

Frequent Co-Authors

Samuel MargueratiD· 4 shared Vahid ShahrezaeiiD· 4 shared François BertauxiD· 3 shared Malika SaintiD· 2 shared Philipp ThomasiD· 2 shared Xi-Ming SuniD· 2 shared Amalia Martínez-SeguraiD· 1 shared Andreas Christ Sølvsten JørgenseniD· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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4 shared papersBioinformatics

Samuel MargueratORCID

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4 papers

Recent·Most cited

Modelling capture efficiency of single cell RNA-sequencing data improves inference of transcriptome-wide burst kinetics

Wenhao Tang, Andreas Christ Sølvsten Jørgensen, Samuel Marguerat, Philipp Thomas, Vahid Shahrezaei

The paper develops a method to model capture efficiency in scRNA-seq data to improve inference of transcriptome-wide burst kinetics.

Bioinformatics · Jun 24, 2023Peer-reviewedBioinformatics

Size-dependent increase in RNA Polymerase II initiation rates mediates gene expression scaling with cell size

Xi-Ming Sun, Anthony Bowman, Miles Priestman, François Bertaux, Amalia Martínez-Segura, Wenhao Tang, Chad Whilding, Dirk Dormann, Vahid Shahrezaei, Samuel Marguerat

The paper investigates how RNA Polymerase II initiation rates scale with cell size in fission yeast, showing that RNAPII is a limiting factor for transcriptional scaling.

Current Biology · Feb 13, 2020Peer-reviewedMolecular Biology

bayNorm: Bayesian gene expression recovery, imputation and normalisation for single cell RNA-sequencing data

Wenhao Tang, François Bertaux, Philipp Thomas, Claire Stefanelli, Malika Saint, Samuel Marguerat, Vahid Shahrezaei

bayNorm provides a Bayesian method for normalizing, imputing, and recovering gene expression in scRNA-seq data, improving accuracy and reducing batch effects.

Bioinformatics · Sep 28, 2019Peer-reviewedBioinformatics

Single-cell phenotyping and RNA sequencing reveal novel patterns of gene expression heterogeneity and regulation during growth and stress adaptation in a unicellular eukaryote

Malika Saint, François Bertaux, Wenhao Tang, Xi-Ming Sun, Laurence Gamé, Anna Köferle, Jürg Bähler, Vahid Shahrezaei, Samuel Marguerat

The paper uses scRNA-seq and imaging to study gene expression heterogeneity in fission yeast under different environmental conditions, revealing how gene expression varies during growth and stress responses.

Nature Microbiology · Feb 4, 2019Peer-reviewedGenomics