Accounting for noise when clustering biological data

Briefings in Bioinformatics

Volumn 14, Issue 4, 2013, Pages 423-436

  Sloutsky, Roman ^a   Jimenez, Nicolas ^b   Swamidass, S Joshua ^a   Naegle, Kristen M ^c  

^a WASHINGTON UNIVERSITY   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

^c WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

Author keywords

Cluster ensemble; Clustering; Measurement variability; Noise; Random effects; Unsupervised learning

Indexed keywords

PROTEIN; TRANSCRIPTOME;

ALGORITHM; ARTICLE; CHEMISTRY; CLUSTER; CLUSTER ANALYSIS; CLUSTER ENSEMBLE; GENE EXPRESSION; MEASUREMENT VARIABILITY; NOISE; PHOSPHORYLATION; RANDOM EFFECTS; UNSUPERVISED LEARNING;

CLUSTER ENSEMBLE; CLUSTERING; MEASUREMENT VARIABILITY; NOISE; RANDOM EFFECTS; UNSUPERVISED LEARNING;

ALGORITHMS; CLUSTER ANALYSIS; GENE EXPRESSION; PHOSPHORYLATION; PROTEINS; TRANSCRIPTOME;

EID: 84889028394     PISSN: 14675463     EISSN: 14774054     Source Type: Journal    
DOI: 10.1093/bib/bbs057     Document Type: Article

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