Evaluating gene expression dynamics using pairwise RNA fish data

PLoS Computational Biology

Volumn 6, Issue 11, 2010, Pages

  Wyart, Matthieu ^a,b   Botstein, David ^a   Wingreen, Ned S ^a  

^a PRINCETON UNIVERSITY   (United States)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CYTOLOGY; DYNAMICS; FISH; FLUORESCENCE; FLUORESCENCE MICROSCOPY; GENE EXPRESSION; MAXIMUM LIKELIHOOD ESTIMATION; YEAST;

CELL CYCLE; FLUORESCENT IN SITU HYBRIDIZATION; GENE EXPRESSION DYNAMICS; GENES EXPRESSION; HIGH-ACCURACY; HIGHER TIME RESOLUTION; MAXIMUM LIKELIHOOD PARAMETER ESTIMATIONS; REAL-TIME DYNAMICS; SINGLE CELLS; WILD-TYPE CELLS;

RNA;

ALGORITHM; ARTICLE; CELL CYCLE; CELL POPULATION; CONTROLLED STUDY; FLUORESCENCE IN SITU HYBRIDIZATION; GENE EXPRESSION; MATHEMATICAL MODEL; MOLECULAR DYNAMICS; PRINCIPAL COMPONENT ANALYSIS; PROCESS OPTIMIZATION; PROTEIN DNA BINDING; SACCHAROMYCES CEREVISIAE; BIOLOGY; BIOSYNTHESIS; CLUSTER ANALYSIS; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; METABOLISM; METHODOLOGY;

SACCHAROMYCES CEREVISIAE;

FUNGAL RNA; MESSENGER RNA; SACCHAROMYCES CEREVISIAE PROTEIN;

ALGORITHMS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, FUNGAL; IN SITU HYBRIDIZATION, FLUORESCENCE; PRINCIPAL COMPONENT ANALYSIS; RNA, FUNGAL; RNA, MESSENGER; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS;

EID: 78649675624     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000979     Document Type: Article

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