Package: DisHet 1.0.0

DisHet: Estimate the Gene Expression Levels and Component Proportions of the Normal, Stroma (Immune) and Tumor Components of Bulk Tumor Samples

Model cell type heterogeneity of bulk renal cell carcinoma. The observed gene expression in bulk tumor sample is modeled by a log-normal distribution with the location parameter structured as a linear combination of the component-specific gene expressions.

Authors:Tao Wang

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NEWS

# Install 'DisHet' in R:
install.packages('DisHet', repos = c('https://wtwt5237.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • eTME_signatures - Empirically-defined Immune Signature Genes in RCC Bulk Tumor

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 3 scripts 244 downloads 2 mentions 2 exports 2 dependencies

Last updated 7 years agofrom:c0b198275a. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 03 2025
R-4.5-winOKMar 03 2025
R-4.5-macOKMar 03 2025
R-4.5-linuxOKMar 03 2025
R-4.4-winOKMar 03 2025
R-4.4-macOKMar 03 2025
R-4.3-winOKMar 03 2025
R-4.3-macOKMar 03 2025

Exports:DisHetStromaExp

Dependencies:gtoolsmatrixStats