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A denoised multi-omics integration framework for cancer subtype classification and survival prediction.
Pang, Jiali; Liang, Bilin; Ding, Ruifeng; Yan, Qiujuan; Chen, Ruiyao; Xu, Jie.
Affiliation
  • Pang J; Shanghai Artificial Intelligence Laboratory, Shanghai, China.
  • Liang B; Shanghai Artificial Intelligence Laboratory, Shanghai, China.
  • Ding R; Department of Anesthesiology, Changzheng Hospital, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
  • Yan Q; Shanghai Artificial Intelligence Laboratory, Shanghai, China.
  • Chen R; Shanghai Artificial Intelligence Laboratory, Shanghai, China.
  • Xu J; Shanghai Artificial Intelligence Laboratory, Shanghai, China.
Brief Bioinform ; 24(5)2023 09 20.
Article in En | MEDLINE | ID: mdl-37594302
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genomics / Neoplasms Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2023 Type: Article Affiliation country: China
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genomics / Neoplasms Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2023 Type: Article Affiliation country: China