diff options
Diffstat (limited to 'gnu/packages/bioconductor.scm')
-rw-r--r-- | gnu/packages/bioconductor.scm | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index 2fbfdba2d8..3ada92085e 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -3501,8 +3501,8 @@ phenotype of interest.") (synopsis "Fast gene set enrichment analysis") (description "The package implements an algorithm for fast gene set enrichment -analysis. Using the fast algorithm allows to make more permutations and get -more fine grained p-values, which allows to use accurate stantard approaches +analysis. Using the fast algorithm makes more permutations and gets +more fine grained p-values, which allows using accurate standard approaches to multiple hypothesis correction.") (license license:expat))) @@ -4271,7 +4271,7 @@ investigation using RNA-seq data.") (home-page "https://bioconductor.org/packages/AUCell/") (synopsis "Analysis of gene set activity in single-cell RNA-seq data") (description - "AUCell allows to identify cells with active gene sets (e.g. signatures, + "AUCell identifies cells with active gene sets (e.g. signatures, gene modules, etc) in single-cell RNA-seq data. AUCell uses the @dfn{Area Under the Curve} (AUC) to calculate whether a critical subset of the input gene set is enriched within the expressed genes for each cell. The @@ -6426,7 +6426,7 @@ parametric mixture model. The protein binding sites (clusters) are then resolved at high resolution and cluster statistics are estimated using a rigorous Bayesian framework. Post-processing of the results, data export for UCSC genome browser visualization and motif search analysis are provided. In -addition, the package allows to integrate RNA-Seq data to estimate the False +addition, the package integrates RNA-Seq data to estimate the False Discovery Rate of cluster detection. Key functions support parallel multicore computing. While wavClusteR was designed for PAR-CLIP data analysis, it can be applied to the analysis of other NGS data obtained from experimental |