Accurate classification of protein subcellular localization from high-throughput microscopy images using deep learning

G3: Genes, Genomes, Genetics

Volumn 7, Issue 5, 2017, Pages 1385-1392

  Pärnamaa, Tanel ^a   Parts, Leopold ^a,b  

^a UNIVERSITY OF TARTU   (Estonia)

^b WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

Author keywords

Deep learning; High content; Microscopy; ScreeningMachine learning; Yeast

Indexed keywords

CELLULAR DISTRIBUTION; CLASSIFICATION; CLASSIFIER; HUMAN; LEARNING; MICROSCOPY; NERVOUS SYSTEM; NONHUMAN; YEAST; COMPUTER ASSISTED DIAGNOSIS; FLUORESCENCE MICROSCOPY; HIGH THROUGHPUT SCREENING; MACHINE LEARNING; METABOLISM; PROCEDURES; PROTEIN TRANSPORT; ULTRASTRUCTURE;

FUNGAL PROTEIN; PROTEOME;

FUNGAL PROTEINS; HIGH-THROUGHPUT SCREENING ASSAYS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MACHINE LEARNING; MICROSCOPY, FLUORESCENCE; PROTEIN TRANSPORT; PROTEOME; YEASTS;

EID: 85019234865     PISSN: None     EISSN: 21601836     Source Type: Journal    
DOI: 10.1534/g3.116.033654     Document Type: Article

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