Inferring signalling networks from longitudinal data using sampling based approaches in the R-package 'ddepn'

BMC Bioinformatics

Volumn 12, Issue , 2011, Pages

  Bender, Christian ^a   Heyde, Silvia V ^b   Henjes, Frauke ^a   Wiemann, Stefan ^a   Korf, Ulrike ^a   Beißbarth, Tim ^b  

^a GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

^b UNIVERSITY OF GÖTTINGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EXTERNAL PERTURBATIONS; FUNCTIONAL RELATIONSHIP; HIGH-THROUGHPUT DATA; MARKOV CHAIN MONTE CARLO METHOD; NETWORK RECONSTRUCTION; NETWORK STRUCTURES; REFERENCE NETWORK; SIGNALLING NETWORK;

CELL CULTURE; DISEASES;

INFERENCE ENGINES;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BREAST TUMOR; COMPUTER PROGRAM; HUMAN; LONGITUDINAL STUDY; METABOLISM; MONTE CARLO METHOD; PROBABILITY; SIGNAL TRANSDUCTION; TUMOR CELL LINE;

ALGORITHMS; BREAST NEOPLASMS; CELL LINE, TUMOR; HUMANS; LONGITUDINAL STUDIES; MARKOV CHAINS; MODELS, BIOLOGICAL; MONTE CARLO METHOD; SIGNAL TRANSDUCTION; SOFTWARE;

EID: 79960561955     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-12-291     Document Type: Article

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