Computational and experimental single cell biology techniques for the definition of cell type heterogeneity, interplay and intracellular dynamics

Current Opinion in Biotechnology

Volumn 34, Issue , 2015, Pages 9-15

  de Vargas Roditi, Laura ^a,b   Claassen, Manfred ^a,b  

^a ETH ZURICH   (Switzerland)

^b SWISS INSTITUTE OF BIOINFORMATICS   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CELL CULTURE; CELL PROLIFERATION; COMPUTATION THEORY; LEARNING SYSTEMS; PREDICTIVE ANALYTICS; SYSTEM THEORY; TRANSCRIPTION;

CELL POPULATIONS; CELLULAR PROCESS; IMMUNE CELL DIFFERENTIATION; INTRACELLULAR DYNAMICS; MACHINE LEARNING APPROACHES; MULTICELLULAR ORGANISMS; MULTISCALE MODELS; TECHNOLOGICAL DEVELOPMENT;

CELL SIGNALING;

CELL FUNCTION; COMPUTER; CYTOLOGY; HUMAN; INTRACELLULAR SPACE; SIGNAL TRANSDUCTION;

CELL BIOLOGY; CELL PHYSIOLOGICAL PHENOMENA; COMPUTERS; CYTOLOGICAL TECHNIQUES; HUMANS; INTRACELLULAR SPACE; SIGNAL TRANSDUCTION;

EID: 84949115417     PISSN: 09581669     EISSN: 18790429     Source Type: Journal    
DOI: 10.1016/j.copbio.2014.10.010     Document Type: Review

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