1 curatedBladderData: Clinically Annotated Data for the Bladder Cancer Transcriptome | 2 Data access and caching | 3 Load data sets | 4 Load datasets based on rules | 5 Non-unique gene symbols | A Available Clinical Characteristics | B Summarizing the List of ExpressionSets | C For non-R users | D Session Info
Package: curatedBladderData 1.49.1
Markus Riester
curatedBladderData: Bladder Cancer Gene Expression Analysis
Manually curated bladder cancer ExpressionSet objects from 10 studies (12 objects, since two studies contributed data on two platforms each), with uniformly processed expression data and curated clinical metadata. Datasets are hosted on Zenodo and downloaded on first use, then cached locally with BiocFileCache. Includes a configurable script for rule-based creation of filtered dataset lists for meta-analysis.
Authors:
curatedBladderData_1.49.1.tar.gz
curatedBladderData_1.49.1.tar.gz(r-4.7-any)curatedBladderData_1.49.1.tar.gz(r-4.6-any)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
curatedBladderData/json (API)
| # Install 'curatedBladderData' in R: |
| install.packages('curatedBladderData', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lima1/curatedbladderdata/issues
Datasets:
- GSE13507_eset - Predictive value of progression-related gene classifier in primary non-muscle invasive bladder cancer.
- GSE1827_eset - Bladder cancer outcome and subtype classification by gene expression.
- GSE19915.GPL3883_eset - Combined gene expression and genomic profiling define two intrinsic molecular subtypes of urothelial carcinoma and gene signatures for molecular grading and outcome.
- GSE19915.GPL5186_eset - Combined gene expression and genomic profiling define two intrinsic molecular subtypes of urothelial carcinoma and gene signatures for molecular grading and outcome.
- GSE31189_eset - A candidate molecular biomarker panel for the detection of bladder cancer.
- GSE31684_eset - Combination of a novel gene expression signature with a clinical nomogram improves the prediction of survival in high-risk bladder cancer.
- GSE32894_eset - A molecular taxonomy for urothelial carcinoma.
- GSE37317_eset - Transcriptional signatures of Ral GTPase are associated with aggressive clinicopathologic characteristics in human cancer.
- GSE5287_eset - Emmprin and survivin predict response and survival following cisplatin-containing chemotherapy in patients with advanced bladder cancer.
- GSE89_eset - Identifying distinct classes of bladder carcinoma using microarrays.
- PMID17099711.GPL8300_eset - Regional copy number-independent deregulation of transcription in cancer.
- PMID17099711.GPL91_eset - Regional copy number-independent deregulation of transcription in cancer.
On BioConductor:curatedBladderData-1.49.1(data/experiment 3.24)curatedBladderData-1.48.0(data/experiment 3.23)
experimentdatacancerdatamicroarraydataexpressiondatageobioconductor-packagedatapkg
Last updated from:54ee1412c4. Checks:1 ERROR, 2 NOTE, 1 OK. Indexed: yes.
This is a data package. Data packages may be large and do not get checked across all platforms.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 140 | ||
| linux-devel | NOTE | 238 | ||
| source / vignettes | OK | 347 | ||
| linux-release | NOTE | 251 |
Exports:curatedBladderData
Dependencies:askpassBiobaseBiocFileCacheBiocGenericsbitbit64blobcachemclicpp11curlDBIdbplyrdigestdplyrfastmapfilelockgenericsgluehttr2lifecyclemagrittrmemoiseopensslpillarpkgconfigpurrrR6rlangRSQLitestringistringrsystibbletidyrtidyselectutf8vctrswithr
