ArticleFrontiers in genetics2019
CEPICS: A Comparison and Evaluation Platform for Integration Methods in Cancer Subtyping.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- moiraine: an R package to construct reproducible pipelines for the application and comparison of multi-omics integration methods.Bioinformatics (Oxford, England) · 2026Article
- Deep multi-omics integration by learning correlation-maximizing representation identifies prognostically stratified cancer subtypes.Bioinformatics advances · 2023Article
- Multi-omics peripheral and core regions of cancer.NPJ systems biology and applications · 2022Article
- Evaluation and comparison of multi-omics data integration methods for cancer subtyping.PLoS computational biology · 2021Article
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Authors and funding
9 authors.
Funding
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Abstract
Cancer subtypes can improve our understanding of cancer, and suggest more precise treatment for patients. Multi-omics molecular data can characterize cancers at different levels. Up to now, many computational methods that integrate multi-omics data for cancer subtyping have been proposed. However, there are no consistent criteria to evaluate the integration methods due to the lack of gold standards (e.g., the number of subtypes in a specific cancer). Since comprehensive evaluation and comparison between different methods serves as a useful tool or guideline for users to select an optimal method for their own purpose, we develop a scalable platform, CEPICS, for comprehensively evaluating and comparing multi-omics data integration methods in cancer subtyping. Given a user-specified maximum number of subtypes,
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