Modeling group heteroscedasticity in single-cell RNA-seq pseudo-bulk data.

Bibliographic Details
Title: Modeling group heteroscedasticity in single-cell RNA-seq pseudo-bulk data.
Authors: You Y; Epigenetics and Development Division, The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, Australia. you.y@wehi.edu.au.; Department of Medical Biology, The University of Melbourne, Parkville, Australia. you.y@wehi.edu.au., Dong X; Epigenetics and Development Division, The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, Australia.; Department of Medical Biology, The University of Melbourne, Parkville, Australia., Wee YK; CSL Limited, Parkville, Australia., Maxwell MJ; CSL Limited, Parkville, Australia., Alhamdoosh M; CSL Limited, Parkville, Australia., Smyth GK; Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, Australia.; School of Mathematics and Statistics, The University of Melbourne, Parkville, Australia., Hickey PF; Epigenetics and Development Division, The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, Australia.; Department of Medical Biology, The University of Melbourne, Parkville, Australia.; Advanced Technology and Biology Division, The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, Australia., Ritchie ME; Epigenetics and Development Division, The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, Australia. mritchie@wehi.edu.au.; Department of Medical Biology, The University of Melbourne, Parkville, Australia. mritchie@wehi.edu.au., Law CW; Epigenetics and Development Division, The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, Australia. law@wehi.edu.au.; Department of Medical Biology, The University of Melbourne, Parkville, Australia. law@wehi.edu.au.
Source: Genome biology [Genome Biol] 2023 May 05; Vol. 24 (1), pp. 107. Date of Electronic Publication: 2023 May 05.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100960660 Publication Model: Electronic Cited Medium: Internet ISSN: 1474-760X (Electronic) Linking ISSN: 14747596 NLM ISO Abbreviation: Genome Biol Subsets: MEDLINE
Database: MEDLINE Complete
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Description
ISSN:1474-760X
DOI:10.1186/s13059-023-02949-2