Cellular morphological features are predictive markers of cancer cell state.

Alizadeh, Elaheh; Castle, Jordan; Quirk, Analia; Taylor, Cameron D L; Xu, Wenlong; Prasad, Ashok

Alizadeh, Elaheh; Castle, Jordan; Quirk, Analia; Taylor, Cameron D L; Xu, Wenlong; Prasad, Ashok.

Afiliación

Alizadeh E; Department of Chemical and Biological Engineering, USA.
Castle J; Department of Biology, USA.
Quirk A; Department of Chemical and Biological Engineering, USA; School of Biomedical Engineering, Colorado State University, Fort Collins, CO, 80523, USA.
Taylor CDL; Department of Chemical and Biological Engineering, USA; School of Biomedical Engineering, Colorado State University, Fort Collins, CO, 80523, USA.
Xu W; Department of Chemical and Biological Engineering, USA.
Prasad A; Department of Chemical and Biological Engineering, USA; School of Biomedical Engineering, Colorado State University, Fort Collins, CO, 80523, USA. Electronic address: ashok.prasad@colostate.edu.

Comput Biol Med ; 126: 104044, 2020 11.

Article en En | MEDLINE | ID: mdl-33049477

Asunto(s)

Neoplasias de la Mama; Neoplasias de la Mama/genética; Femenino; Humanos; Aprendizaje Automático

Palabras clave

Actin; Cell morphology; Cell shape; Cytoskeletal structure; Machine learning; Metastasis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Comput Biol Med Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

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