Information theoretical methods to deconvolute genetic regulatory networks applied to thyroid neoplasms

Physica A: Statistical Mechanics and its Applications

Volumn 388, Issue 24, 2009, Pages 5057-5069

  Hernández Lemus, Enrique ^a   Velázquez Fernández, David ^a,b   Estrada Gil, Jesús K ^a   Silva Zolezzi, Irma ^a   Herrera Hernández, Miguel F ^b   Jiménez Sánchez, Gerardo ^a  

^a INSTITUTO NACIONAL DE MEDICINA GENÓMICA   (Mexico)

^b INSTITUTO NACIONAL DE CIENCIAS MÉDICAS Y NUTRICIÓN SALVADOR ZUBIRÁN   (Mexico)

Author keywords

Gene regulatory networks; Information theory; Maximum entropy; Thyroid cancer

Indexed keywords

COMPLEX NETWORKS; DISEASES; INFORMATION THEORY; MAXIMUM ENTROPY METHODS; PROBABILITY DISTRIBUTIONS;

CLUSTERING COEFFICIENT; ENVIRONMENTAL FACTORS; GENE REGULATORY NETWORKS; GENE-GENE INTERACTION; GENETIC REGULATORY NETWORKS; NETWORK HETEROGENEITY; PAPILLARY THYROID CANCER; THYROID CANCERS;

GENES;

EID: 70249141243     PISSN: 03784371     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physa.2009.08.013     Document Type: Article

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