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CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization
Taosheng Xu1, Thuc Duy Le2,3, Lin Liu2
1Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.
CancerSubtypes, an R package, aids in identifying molecular cancer subtypes from multi-omics data. This tool standardizes analysis, enabling comparison of various computational methods for personalized medicine.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Personalized medicine relies on accurate molecular cancer subtyping.
- Multi-omics data (gene expression, miRNA, DNA methylation) offers rich information for subtyping.
Purpose of the Study:
- To introduce CancerSubtypes, an R package for cancer subtype identification.
- To provide a standardized framework for analyzing multi-omics data for cancer subtyping.
Main Methods:
- Integrates four highly cited computational methods for cancer subtype identification.
- Standardizes data pre-processing, feature selection, and follow-up analyses.
- Ensures consistent data formats for input/output across all steps.
Main Results:
- Facilitates comparison of different subtype identification methods.
- Enables robust biological validation and visualization of results.
- Demonstrates utility through various application scenarios.
Conclusions:
- CancerSubtypes offers a comprehensive R package for molecular cancer subtyping.
- The standardized framework simplifies the comparison and validation of cancer subtyping methods.
- This tool supports advancements in personalized cancer medicine through multi-omics data analysis.
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