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• W3039150496 abstract "Gene set analysis methods are widely used to provide insight into high-throughput gene expression data. There are many gene set analysis methods available. These methods rely on various assumptions and have different requirements, strengths and weaknesses. In this paper, we classify gene set analysis methods based on their components, describe the underlying requirements and assumptions for each class, and provide directions for future research in developing and evaluating gene set analysis methods." @default.
• W3039150496 created "2020-07-10" @default.
• W3039150496 creator A5033210702 @default.
• W3039150496 creator A5034538230 @default.
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• W3039150496 date "2020-06-30" @default.
• W3039150496 modified "2023-10-17" @default.
• W3039150496 title "Gene Set Analysis: Challenges, Opportunities, and Future Research" @default.
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• W3039150496 doi "https://doi.org/10.3389/fgene.2020.00654" @default.
• W3039150496 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7339292" @default.
• W3039150496 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32695141" @default.
• W3039150496 hasPublicationYear "2020" @default.
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