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

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...

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Published in:Nature biotechnology 2024-07, Vol.42 (7), p.1034-1035
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Language:English
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631/114/129/2043
631/114/1305
631/114/2114
631/114/2397
Agriculture
Bioinformatics
Biology
Biomedical and Life Sciences
Biomedical Engineering/Biotechnology
Biomedicine
Biotechnology
Breast cancer
Computational Biology - methods
Cytotoxicity
Datasets
Decoding
Discriminant analysis
DNA methylation
Factor analysis
Gene expression
Gene Expression Profiling - methods
Humans
Immunology
Immunotherapy
Life Sciences
Lymphocytes
Methods
Patients
Research Briefing
Single-Cell Analysis - methods
Transcriptome - genetics
Transcriptomics
Tumors
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description 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.
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subjects 631/114/129/2043
631/114/1305
631/114/2114
631/114/2397
Agriculture
Bioinformatics
Biology
Biomedical and Life Sciences
Biomedical Engineering/Biotechnology
Biomedicine
Biotechnology
Breast cancer
Computational Biology - methods
Cytotoxicity
Datasets
Decoding
Discriminant analysis
DNA methylation
Factor analysis
Gene expression
Gene Expression Profiling - methods
Humans
Immunology
Immunotherapy
Life Sciences
Lymphocytes
Methods
Patients
Research Briefing
Single-Cell Analysis - methods
Transcriptome - genetics
Transcriptomics
Tumors
title Decoding the building blocks of cellular processes from single-cell transcriptomics data
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