A Novel Unsupervised Algorithm for Biological Process-based Analysis on Cancer

Abstract The aberrant alterations of biological functions are well known in tumorigenesis and cancer development. Hence, with advances in high-throughput sequencing technologies, capturing and quantifying the functional alterations in cancers based on expression profiles to explore cancer malignant...

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Auteurs principaux: Tianci Song, Sha Cao, Sheng Tao, Sen Liang, Wei Du, Yanchun Liang
Format: article
Langue:EN
Publié: Nature Portfolio 2017
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Accès en ligne:https://doaj.org/article/e2ec18a198cd43adb7b12ece8aa8dc60
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