Parameterizing cell-to-cell regulatory heterogeneities via stochastic transcriptional profiles

Proceedings of the National Academy of Sciences of the United States of America

Volumn 111, Issue 5, 2014, Pages

  Bajikar, Sameer S ^a   Fuchs, Christiane ^b,c   Roller, Andreas ^b,c   Theis, Fabian J ^b,c   Janes, Kevin A ^a  

^a University of Virginia   (United States)

^b INSTITUTE OF EPIDEMIOLOGY   (Germany)

^c TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Breast cancer; Morphogenesis; Noise; Systems biology

Indexed keywords

ARTICLE; CELL COUNT; CELL FUNCTION; CELL HETEROGENEITY; CELL POPULATION; GENE EXPRESSION; PRIORITY JOURNAL;

BREAST CANCER; MORPHOGENESIS; NOISE; SYSTEMS BIOLOGY;

ANIMALS; CELLS; CLUSTER ANALYSIS; GENE EXPRESSION REGULATION; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, BIOLOGICAL; PHOSPHATIDYLINOSITOL 3-KINASES; PROBABILITY; REPRODUCIBILITY OF RESULTS; STOCHASTIC PROCESSES; TRANSCRIPTION, GENETIC;

EID: 84893499959     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1311647111     Document Type: Article

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