Deciphering the landscape of transcriptional heterogeneity across cancer
By integrating scRNA-seq datasets across 77 studies and 24 cancer types, in Nature, Gavish et al. uncover recurrent patterns of gene expression that explain a significant proportion of transcriptomic heterogeneity observed in cancer and explore their functional significance. By integrating scRNA-seq...
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Veröffentlicht in: | Cancer cell 2023-09, Vol.41 (9), p.1548-1550 |
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Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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Zusammenfassung: | By integrating scRNA-seq datasets across 77 studies and 24 cancer types, in Nature, Gavish et al. uncover recurrent patterns of gene expression that explain a significant proportion of transcriptomic heterogeneity observed in cancer and explore their functional significance.
By integrating scRNA-seq datasets across 77 studies and 24 cancer types, in Nature, Gavish et al. uncover recurrent patterns of gene expression that explain a significant proportion of transcriptomic heterogeneity observedin cancer and explore their functional significance. |
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ISSN: | 1535-6108 1878-3686 |
DOI: | 10.1016/j.ccell.2023.07.008 |