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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Autores principales: | Tianci Song, Sha Cao, Sheng Tao, Sen Liang, Wei Du, Yanchun Liang |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
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Materias: | |
Acceso en línea: | https://doaj.org/article/e2ec18a198cd43adb7b12ece8aa8dc60 |
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