Model-based deconvolution of cell cycle time-series data reveals gene expression details at high resolution

PLoS Computational Biology

Volumn 5, Issue 8, 2009, Pages

  Siegal Gaskins, Dan ^a   Ash, Joshua N ^b   Crosson, Sean ^c  

^a OHIO STATE UNIVERSITY   (United States)

^b The Ohio State University   (United States)

^c UNIVERSITY OF CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CELL PROLIFERATION; DECONVOLUTION; POPULATION STATISTICS; TIME SERIES;

CELL CYCLE; CYCLE TIME; DECONVOLUTION ALGORITHM; DECONVOLUTIONS; EXPRESSION DATA; GENES EXPRESSION; HIGH RESOLUTION; MODEL-BASED OPC; SINGLE CELLS; TIME-SERIES DATA;

GENE EXPRESSION;

ALGORITHM; ARTICLE; CAULOBACTER CRESCENTUS; CELL CYCLE REGULATION; CELL MATURATION; CELL SYNCHRONIZATION; CONTROLLED STUDY; DECONVOLUTION; GENE EXPRESSION; GROWTH RATE; NONHUMAN; TIME SERIES ANALYSIS; BIOLOGICAL MODEL; BIOLOGY; CELL CYCLE; GENE EXPRESSION PROFILING; GENETIC DATABASE; GENETICS; METABOLISM; METHODOLOGY; REPRODUCIBILITY;

BACTERIA (MICROORGANISMS); CAULOBACTER VIBRIOIDES; EUKARYOTA; PROKARYOTA;

BACTERIAL PROTEIN; CELL CYCLE PROTEIN;

ALGORITHMS; BACTERIAL PROTEINS; CAULOBACTER CRESCENTUS; CELL CYCLE; CELL CYCLE PROTEINS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; GENE EXPRESSION; GENE EXPRESSION PROFILING; MODELS, BIOLOGICAL; REPRODUCIBILITY OF RESULTS;

EID: 70049111019     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000460     Document Type: Article

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