Binary state pattern clustering: A digital paradigm for class and biomarker discovery in gene microarray studies of cancer

Journal of Computational Biology

Volumn 13, Issue 5, 2006, Pages 1114-1130

  Beattie, Bradley J ^a   Robinson, Peter N ^b  

^a MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

^b CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

Author keywords

Biclustering; Biomarker discovery; Class discovery; Clustering; Gene microarray

Indexed keywords

BIOLOGICAL MARKER;

ACCURACY; ALGORITHM; ARTICLE; BINARY STATE PATTERN CLUSTERING; CANCER; DNA MICROARRAY; GENE CLUSTER; GENETIC ASSOCIATION; HUMAN; MARKER GENE; NOISE; NUCLEOTIDE SEQUENCE; PRIORITY JOURNAL; SIMULATION; STATISTICAL SIGNIFICANCE;

ALGORITHMS; ANIMALS; CLUSTER ANALYSIS; GENE EXPRESSION PROFILING; GENES, NEOPLASM; HUMANS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; SENSITIVITY AND SPECIFICITY; TUMOR MARKERS, BIOLOGICAL;

EID: 33745590150     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/cmb.2006.13.1114     Document Type: Article

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