classifieRc
classifieRc performs transcriptional subtype classification and functional annotation of colorectal cancer (CRC) transcriptomes to support molecular subtyping and biological interpretation.
Key Features:
- Subtype Classification: Assigns CRC samples to established molecular subtype frameworks including the four Consensus Molecular Subtypes (CMS) and five intrinsic CRIS subtypes (CRIS).
- Cross-Platform Compatibility: Processes transcriptional data from diverse assay and sequencing platforms for unified subtype assignment.
- Cellular Composition Estimation: Estimates sample cell-type composition using MCP-counter and xCell.
- Gene Set Enrichment Analysis (ssGSEA): Performs single-sample GSEA (ssGSEA) to profile pathway and gene-set activity per sample.
- Transcription Factor Activity Prediction: Predicts transcription factor activities using DoRothEA.
Scientific Applications:
- Molecular Subtyping of CRC: Classifies colorectal cancer samples into CMS and CRIS subtypes to enable subtype-specific analyses.
- Prognostic and Therapeutic Insight: Generates subtype and pathway-level annotations that can inform prognosis and potential treatment strategies.
- Discovery Research: Supports investigation of regulatory mechanisms, cellular composition, and pathway activity in transcriptome datasets.
Methodology:
Assigns samples to CMS and CRIS subtypes using established classifier gene sets and applies MCP-counter, xCell, ssGSEA, and DoRothEA for functional annotation of transcriptomes.
Topics
Details
- License:
- Not licensed
- Cost:
- Free of charge (with restrictions)
- Tool Type:
- web application, workflow
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R, Java
- Added:
- 7/20/2022
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Gene expression profiling
Inputs
Publications
Quinn GP, Sessler T, Ahmaderaghi B, Lambe S, VanSteenhouse H, Lawler M, Wappett M, Seligmann B, Longley DB, McDade SS. classifieR a flexible interactive cloud-application for functional annotation of cancer transcriptomes. BMC Bioinformatics. 2022;23(1). doi:10.1186/s12859-022-04641-x. PMID:35361119. PMCID:PMC8974006.
PMID: 35361119
PMCID: PMC8974006
Funding: - Cancer Research UK: C11884/A24367, C11884/A24387, C212/A13721
- HDR-UK: JHR1157-100/1230
- ECMC: C36697/A25176
- Biotechnology and Biological Sciences Research Council: BB/T002824/1