Accurate estimation of cell-type composition from gene expression data

Bulk RNA-seq data harbors valuable information about gene expression levels from different cell types in tissue samples. Here, the authors develop DWLS, a computational method for estimating cell-type composition of bulk data by leveraging single-cell RNA-seq-derived cell-type signatures.

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Auteurs principaux: Daphne Tsoucas, Rui Dong, Haide Chen, Qian Zhu, Guoji Guo, Guo-Cheng Yuan
Format: article
Langue:EN
Publié: Nature Portfolio 2019
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Accès en ligne:https://doaj.org/article/a386c685ecc44f67a8f77ffcb1d966eb
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