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

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 process i...

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Detalles Bibliográficos
Autores principales: Song, Tianci, Cao, Sha, Tao, Sheng, Liang, Sen, Du, Wei, Liang, Yanchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5498659/
https://www.ncbi.nlm.nih.gov/pubmed/28680165
http://dx.doi.org/10.1038/s41598-017-04961-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5498659/
https://www.ncbi.nlm.nih.gov/pubmed/28680165
http://dx.doi.org/10.1038/s41598-017-04961-6

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