dcGSA
This is the development version of dcGSA; for the stable release version, see dcGSA.
Distance-correlation based Gene Set Analysis for longitudinal gene expression profiles
Bioconductor version: Development (3.24)
Distance-correlation based Gene Set Analysis for longitudinal gene expression profiles. In longitudinal studies, the gene expression profiles were collected at each visit from each subject and hence there are multiple measurements of the gene expression profiles for each subject. The dcGSA package could be used to assess the associations between gene sets and clinical outcomes of interest by fully taking advantage of the longitudinal nature of both the gene expression profiles and clinical outcomes.
Author: Jiehuan Sun [aut, cre], Jose Herazo-Maya [aut], Xiu Huang [aut], Naftali Kaminski [aut], and Hongyu Zhao [aut]
Maintainer: Jiehuan sun <jiehuan.sun at yale.edu>
citation("dcGSA")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("dcGSA")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
| Reference Manual | |
| NEWS | Text |
Details
| biocViews | GeneExpression, GeneSetEnrichment, ImmunoOncology, Microarray, RNASeq, Sequencing, Software, StatisticalMethod |
| Version | 1.41.0 |
| In Bioconductor since | BioC 3.3 (R-3.3) (10.5 years) |
| License | GPL-2 |
| Depends | R (>= 3.3), Matrix |
| Imports | BiocParallel |
| System Requirements | |
| URL |
See More
| Suggests | knitr |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | dcGSA_1.41.0.tar.gz |
| Windows Binary (x86_64) | dcGSA_1.41.0.zip |
| macOS Binary (big-sur-x86_64) | dcGSA_1.41.0.tgz |
| macOS Binary (sonoma-arm64) | dcGSA_1.41.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/dcGSA |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/dcGSA |
| Bioc Package Browser | https://code.bioconductor.org/browse/dcGSA/ |
| Package Short Url | https://bioconductor.org/packages/dcGSA/ |
| Package Downloads Report | Download Stats |