[HTML][HTML] Data normalization considerations for digital tumor dissection
Genome biology, 2017•Springer
In a recently published article in Genome Biology, Li and colleagues introduced TIMER, a
gene expression deconvolution approach for studying tumor-infiltrating leukocytes (TILs) in
23 cancer types profiled by The Cancer Genome Atlas. Methods to characterize TIL biology
are increasingly important, and the authors offer several arguments in favor of their strategy.
Several of these claims warrant further discussion and highlight the critical importance of
data normalization in gene expression deconvolution applications. Please see related Li et …
gene expression deconvolution approach for studying tumor-infiltrating leukocytes (TILs) in
23 cancer types profiled by The Cancer Genome Atlas. Methods to characterize TIL biology
are increasingly important, and the authors offer several arguments in favor of their strategy.
Several of these claims warrant further discussion and highlight the critical importance of
data normalization in gene expression deconvolution applications. Please see related Li et …
Abstract
In a recently published article in Genome Biology, Li and colleagues introduced TIMER, a gene expression deconvolution approach for studying tumor-infiltrating leukocytes (TILs) in 23 cancer types profiled by The Cancer Genome Atlas. Methods to characterize TIL biology are increasingly important, and the authors offer several arguments in favor of their strategy. Several of these claims warrant further discussion and highlight the critical importance of data normalization in gene expression deconvolution applications.
Please see related Li et al correspondence: www.dx.doi.org/10.1186/s13059-017-1256-5 and Zheng correspondence: www.dx.doi.org/10.1186/s13059-017-1258-3
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