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Tumor cell intrinsic and extrinsic features predict prognosis in estrogen receptor positive breast cancer.
Yao, Kevin; Schaafsma, Evelien; Zhang, Baoyi; Cheng, Chao.
Affiliation
  • Yao K; Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, United States of America.
  • Schaafsma E; Department of Molecular and Systems Biology, Dartmouth College, Lebanon, New Hampshire, United States of America.
  • Zhang B; Department of Biomedical Data Science, The Geisel School of Medicine at Dartmouth College, Lebanon, New Hampshire, United States of America.
  • Cheng C; Department of Chemical and Biomolecular Engineering, Rice University, Houston, Texas, United States of America.
PLoS Comput Biol ; 18(3): e1009495, 2022 03.
Article in En | MEDLINE | ID: mdl-35263321
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Receptors, Estrogen Type of study: Etiology_studies / Prognostic_studies Limits: Female / Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Receptors, Estrogen Type of study: Etiology_studies / Prognostic_studies Limits: Female / Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: Country of publication: