Local statistics allow quantification of cell-to-cell variability from high-throughput microscope images

Bioinformatics

Volumn 31, Issue 6, 2015, Pages 940-947

  Handfield, Louis Francois ^a   Strome, Bob ^a   Chong, Yolanda T ^b   Moses, Alan M ^a  

^a UNIVERSITY OF TORONTO   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

SACCHAROMYCES CEREVISIAE PROTEIN;

CELL LINEAGE; DIAGNOSTIC IMAGING; FLUORESCENCE MICROSCOPY; HIGH THROUGHPUT SCREENING; METABOLISM; PROCEDURES; PROTEOMICS; SACCHAROMYCES CEREVISIAE; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

CELL LINEAGE; DIAGNOSTIC IMAGING; HIGH-THROUGHPUT SCREENING ASSAYS; MICROSCOPY, FLUORESCENCE; MODELS, STATISTICAL; PROTEOMICS; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS;

EID: 84925264979     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btu759     Document Type: Article

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