Network methods for describing sample relationships in genomic datasets: application to Huntington's disease

BMC Systems Biology

Volumn 6, Issue , 2012, Pages

  Oldham, Michael C ^a   Langfelder, Peter ^b   Horvath, Steve ^b,c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Clustering coefficient; cor(K,C); Data pre processing; Gene expression; Huntington's disease; Microarrays; Sample network analysis; Sample networks; Standardized C(k) curve

Indexed keywords

ARTICLE; AUTOMATED PATTERN RECOGNITION; CAUDATE NUCLEUS; CLUSTER ANALYSIS; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; GENETICS; GENOMICS; HUMAN; HUNTINGTON CHOREA; METABOLISM; METHODOLOGY; NERVE CELL; PATHOLOGY; SIGNAL TRANSDUCTION;

CAUDATE NUCLEUS; CLUSTER ANALYSIS; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORKS; GENOMICS; HUMANS; HUNTINGTON DISEASE; NEURONS; PATTERN RECOGNITION, AUTOMATED; SIGNAL TRANSDUCTION;

EID: 84861970118     PISSN: None     EISSN: 17520509     Source Type: Journal    
DOI: 10.1186/1752-0509-6-63     Document Type: Article

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