High-Content Analysis of Breast Cancer Using Single-Cell Deep Transfer Learning

Journal of Biomolecular Screening

Volumn 21, Issue 3, 2016, Pages 252-259

  Kandaswamy, Chetak ^a,b,c   Silva, Luís M ^a,b,d   Alexandre, Luís A ^e   Santos, Jorge M ^a,b,f  

^a INEB INSTITUTO DE ENGENHARIA BIOMÉDICA   (Portugal)

^b UNIVERSITY OF PORTO   (Portugal)

^c UNIVERSITY OF PORTO   (Portugal)

^d UNIVERSITY OF AVEIRO   (Portugal)

^e UNIVERSITY OF BEIRA INTERIOR   (Portugal)

^f INSTITUTO SUPERIOR DE ENGENHARIA DO PORTO   (Portugal)

Author keywords

cancer drug discovery; deep transfer learning; high content screening; image analysis

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST CANCER; CELLULAR DISTRIBUTION; CONTENT ANALYSIS; DEEP TRANSFER LEARNING; DRUG DEVELOPMENT; IMAGE ANALYSIS; MACHINE LEARNING; PHENOTYPE; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SINGLE CELL ANALYSIS; SUPPORT VECTOR MACHINE; BIOLOGY; FEMALE; GENETIC ENGINEERING; HIGH THROUGHPUT SCREENING; HUMAN; MOLECULAR LIBRARY; PROCEDURES; REPRODUCIBILITY; TUMOR CELL LINE;

ANTINEOPLASTIC AGENT; MOLECULAR LIBRARY;

ANTINEOPLASTIC AGENTS; CELL LINE, TUMOR; COMPUTATIONAL BIOLOGY; DRUG DISCOVERY; FEMALE; GENETIC ENGINEERING; HIGH-THROUGHPUT SCREENING ASSAYS; HUMANS; PHENOTYPE; REPRODUCIBILITY OF RESULTS; SMALL MOLECULE LIBRARIES;

EID: 84959185539     PISSN: 10870571     EISSN: 1552454X     Source Type: Journal    
DOI: 10.1177/1087057115623451     Document Type: Article

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