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 |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2019
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Accès en ligne: | https://doaj.org/article/a386c685ecc44f67a8f77ffcb1d966eb |
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