Your browser doesn't support javascript.
loading
Predicting cancer cell invasion by single-cell physical phenotyping.
Nyberg, Kendra D; Bruce, Samuel L; Nguyen, Angelyn V; Chan, Clara K; Gill, Navjot K; Kim, Tae-Hyung; Sloan, Erica K; Rowat, Amy C.
Affiliation
  • Nyberg KD; Department of Integrative Biology and Physiology, University of California, 610 Charles E. Young Dr East, Los Angeles, CA 90095, USA. knyberg@ucla.edu samuelbruce24@gmail.com angelynnguyen@ucla.edu clarachan27@gmail.com navgill@ucla.edu taehyung.kim@ucla.edu rowat@ucla.edu.
Integr Biol (Camb) ; 10(4): 218-231, 2018 04 23.
Article in En | MEDLINE | ID: mdl-29589844

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms / Breast Neoplasms / Biomarkers / Gene Expression Profiling / MicroRNAs / Neoplasm Invasiveness Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Integr Biol (Camb) Journal subject: BIOLOGIA Year: 2018 Document type: Article Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms / Breast Neoplasms / Biomarkers / Gene Expression Profiling / MicroRNAs / Neoplasm Invasiveness Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Integr Biol (Camb) Journal subject: BIOLOGIA Year: 2018 Document type: Article Country of publication: Reino Unido