Complete deconvolution of cellular mixtures based on linearity of transcriptional signatures
Complete gene expression deconvolution remains a challenging problem. Here, the authors provide a solution based on the recognition that expression levels of cell type specific genes are mutually linear across mixtures and mutually linear gene clusters correspond to cell type-specific signatures.
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Nature Portfolio
2019
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oai:doaj.org-article:e0ae9b56ce5441f49af3e03ef9d412aa2021-12-02T14:38:42ZComplete deconvolution of cellular mixtures based on linearity of transcriptional signatures10.1038/s41467-019-09990-52041-1723https://doaj.org/article/e0ae9b56ce5441f49af3e03ef9d412aa2019-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-09990-5https://doaj.org/toc/2041-1723Complete gene expression deconvolution remains a challenging problem. Here, the authors provide a solution based on the recognition that expression levels of cell type specific genes are mutually linear across mixtures and mutually linear gene clusters correspond to cell type-specific signatures.Konstantin ZaitsevMonika BambouskovaAmanda SwainMaxim N. ArtyomovNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-16 (2019) |
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Science Q Konstantin Zaitsev Monika Bambouskova Amanda Swain Maxim N. Artyomov Complete deconvolution of cellular mixtures based on linearity of transcriptional signatures |
description |
Complete gene expression deconvolution remains a challenging problem. Here, the authors provide a solution based on the recognition that expression levels of cell type specific genes are mutually linear across mixtures and mutually linear gene clusters correspond to cell type-specific signatures. |
format |
article |
author |
Konstantin Zaitsev Monika Bambouskova Amanda Swain Maxim N. Artyomov |
author_facet |
Konstantin Zaitsev Monika Bambouskova Amanda Swain Maxim N. Artyomov |
author_sort |
Konstantin Zaitsev |
title |
Complete deconvolution of cellular mixtures based on linearity of transcriptional signatures |
title_short |
Complete deconvolution of cellular mixtures based on linearity of transcriptional signatures |
title_full |
Complete deconvolution of cellular mixtures based on linearity of transcriptional signatures |
title_fullStr |
Complete deconvolution of cellular mixtures based on linearity of transcriptional signatures |
title_full_unstemmed |
Complete deconvolution of cellular mixtures based on linearity of transcriptional signatures |
title_sort |
complete deconvolution of cellular mixtures based on linearity of transcriptional signatures |
publisher |
Nature Portfolio |
publishDate |
2019 |
url |
https://doaj.org/article/e0ae9b56ce5441f49af3e03ef9d412aa |
work_keys_str_mv |
AT konstantinzaitsev completedeconvolutionofcellularmixturesbasedonlinearityoftranscriptionalsignatures AT monikabambouskova completedeconvolutionofcellularmixturesbasedonlinearityoftranscriptionalsignatures AT amandaswain completedeconvolutionofcellularmixturesbasedonlinearityoftranscriptionalsignatures AT maximnartyomov completedeconvolutionofcellularmixturesbasedonlinearityoftranscriptionalsignatures |
_version_ |
1718390925216972800 |