パッケージ: r-bioc-qusage (2.38.0-1)
r-bioc-qusage に関するリンク
Debian の資源:
r-bioc-qusage ソースパッケージをダウンロード:
- [r-bioc-qusage_2.38.0-1.dsc]
- [r-bioc-qusage_2.38.0.orig.tar.gz]
- [r-bioc-qusage_2.38.0-1.debian.tar.xz]
メンテナ:
外部の資源:
- ホームページ [bioconductor.org]
類似のパッケージ:
qusage: Quantitative Set Analysis for Gene Expression
This package is an implementation the Quantitative Set Analysis for Gene Expression (QuSAGE) method described in (Yaari G. et al, Nucl Acids Res, 2013). This is a novel Gene Set Enrichment-type test, which is designed to provide a faster, more accurate, and easier to understand test for gene expression studies. qusage accounts for inter-gene correlations using the Variance Inflation Factor technique proposed by Wu et al. (Nucleic Acids Res, 2012). In addition, rather than simply evaluating the deviation from a null hypothesis with a single number (a P value), qusage quantifies gene set activity with a complete probability density function (PDF). From this PDF, P values and confidence intervals can be easily extracted. Preserving the PDF also allows for post-hoc analysis (e.g., pair-wise comparisons of gene set activity) while maintaining statistical traceability. Finally, while qusage is compatible with individual gene statistics from existing methods (e.g., LIMMA), a Welch-based method is implemented that is shown to improve specificity. For questions, contact Chris Bolen (cbolen1@gmail.com) or Steven Kleinstein (steven.kleinstein@yale.edu)
その他の r-bioc-qusage 関連パッケージ
|
|
|
|
-
- dep: r-api-4.0
- 以下のパッケージによって提供される仮想パッケージです: r-base-core
-
- dep: r-api-bioc-3.19
- 以下のパッケージによって提供される仮想パッケージです: r-bioc-biocgenerics
-
- dep: r-bioc-biobase
- base functions for Bioconductor
-
- dep: r-bioc-limma (>= 3.14)
- linear models for microarray data
-
- dep: r-cran-emmeans
- GNU R estimated marginal means, aka least-squares means
-
- dep: r-cran-fftw
- GNU R fast FFT and DCT Based on the FFTW Library
-
- dep: r-cran-nlme
- （非）線形混合効果モデル用 GNU R パッケージ