Decoding the building blocks of cellular processes from single-cell transcriptomics data Miscellaneous

  


Authors: Walle, T.; Pe'er, D.
Title: Decoding the building blocks of cellular processes from single-cell transcriptomics data
Abstract: Most features of a cell are determined by gene programs — sets of co-expressed genes that execute a specific function. By incorporating existing knowledge about gene programs and cell types, the Spectra factor analysis method improves how we decode single-cell transcriptomic data and offers insights into challenging tumor immune contexts. © Springer Nature America, Inc. 2023.
Keywords: genetics; cd8+ t lymphocyte; cytology; cell function; genes; gene expression profiling; computational biology; transcriptomics; breast tumor; cell types; macrophage; bioinformatics; transcriptome; leukocyte; factor analysis; tumor immunology; single cell analysis; single-cell analysis; procedures; cellular process; single cells; building blockes; humans; human; article; t cell exhaustion; overlapping gene; decoding; single cell rna seq; cell-be; cell/b.e; cell/be; spectra's; expressed genes
Journal Title: Nature Biotechnology
Volume: 42
Issue: 7
ISSN: 1087-0156
Publisher: Nature Publishing Group  
Date Published: 2024-07-01
Start Page: 1034
End Page: 1035
Language: English
DOI: 10.1038/s41587-023-01967-6
PUBMED: 37735267
PROVIDER: scopus
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171644389&doi=10.1038%2fs41587-023-01967-6&partnerID=40&md5=f71d54a5693f51ceb75ac1d0c76c2f3e
Notes: Summary follow-up of a different article, see DOI: 10.1038/s41587-023-01940-3 -- Source: Scopus
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MSK Authors
  1. Dana Pe'er
    110 Pe'er
  2. Thomas Walle
    4 Walle
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