Global Quantitative Modeling of Chromatin Factor Interactions

PLoS Computational Biology

Volumn 10, Issue 3, 2014, Pages

  Zhou, Jian ^a   Troyanskaya, Olga G ^a,b  

^a PRINCETON UNIVERSITY   (United States)

^b Princeton University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHROMOSOMES; FORECASTING; PROTEINS;

CELL TYPES; GENE-REGULATION; GLOBAL MODELS; MACROMOLECULAR COMPLEXES; MAXIMUM ENTROPY MODELS; MODELLING FRAMEWORK; QUANTITATIVE MODELS; REGULARISATION; STRUCTURE-LEARNING; SYSTEM LEVELS;

PROBABILITY DISTRIBUTIONS;

ARTICLE; CHROMATIN; CHROMATIN STRUCTURE; COMPUTER MODEL; COMPUTER PREDICTION; MAXIMUM ENTROPY BASED MODELING; PROBABILITY;

ALGORITHMS; ANIMALS; AREA UNDER CURVE; CHROMATIN; COMPUTATIONAL BIOLOGY; DROSOPHILA MELANOGASTER; ENTROPY; GENE EXPRESSION REGULATION; HISTONES; MODELS, STATISTICAL; NORMAL DISTRIBUTION; PROBABILITY; REPRODUCIBILITY OF RESULTS; SYSTEMS BIOLOGY; TRANSCRIPTION FACTORS; TRANSCRIPTION, GENETIC;

EID: 84897371670     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003525     Document Type: Article

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