Convolutional neural network for human cancer types prediction by integrating protein interaction networks and omics data

Many studies have proven the power of gene expression profile in cancer identification, however, the explosive growth of genomics data increasing needs of tools for cancer diagnosis and prognosis in high accuracy and short times. Here, we collected 6136 human samples from 11 cancer types, and integr...

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Detalles Bibliográficos
Autores principales: Chuang, Yi-Hsuan, Huang, Sing-Han, Hung, Tzu-Mao, Lin, Xiang-Yu, Lee, Jung-Yu, Lai, Wen-Sen, Yang, Jinn-Moon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8526703/
https://www.ncbi.nlm.nih.gov/pubmed/34667236
http://dx.doi.org/10.1038/s41598-021-98814-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8526703/
https://www.ncbi.nlm.nih.gov/pubmed/34667236
http://dx.doi.org/10.1038/s41598-021-98814-y

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