GeoTcgaData: Processing various types of data on GEO and TCGA
Gene Expression Omnibus(GEO) and The Cancer Genome Atlas (TCGA)
provide us with a wealth of data, such as RNA-seq, DNA Methylation, SNP
and Copy number variation data. It's easy to download data from TCGA using the
gdc tool, but processing these data into a format suitable for bioinformatics
analysis requires more work. This R package was developed to handle these data.
Version: |
1.1.1 |
Depends: |
R (≥ 3.6.0) |
Imports: |
utils, data.table, magrittr, plyr, cqn, dplyr, topconfects |
Suggests: |
knitr, rmarkdown, DESeq2, S4Vectors, ChAMP, impute, tidyr, clusterProfiler, org.Hs.eg.db, edgeR, limma, quantreg, minfi, IlluminaHumanMethylation450kanno.ilmn12.hg19, dearseq, NOISeq |
Published: |
2022-08-12 |
Author: |
Erqiang Hu [aut, cre] |
Maintainer: |
Erqiang Hu <13766876214 at 163.com> |
License: |
Artistic-2.0 |
NeedsCompilation: |
no |
Language: |
en-US |
Materials: |
README |
CRAN checks: |
GeoTcgaData results |
Documentation:
Downloads:
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