Emergent unsupervised clustering paradigms with potential application to bioinformatics

Frontiers in Bioscience

Volumn 13, Issue 2, 2008, Pages 677-690

  Miller, David J ^a,c   Wang, Yue ^b   Kesidis, George ^c  

^a The Pennsylvania State University   (United States)

^b VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Clustering; Confounding effects; Data fusion; Feature selection; Hierarchical clustering; Information bottleneck; Model order selection; Review; Semisupervised learning; Stability criteria

Indexed keywords

ALGORITHM; ANIMAL; AUTOMATED PATTERN RECOGNITION; BIOLOGY; CLUSTER ANALYSIS; DNA MICROARRAY; GENE EXPRESSION PROFILING; HUMAN; INSTRUMENTATION; METHODOLOGY; REVIEW; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; ANIMALS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION PROFILING; HUMANS; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED;

EID: 37549070609     PISSN: 27686701     EISSN: 27686698     Source Type: Journal    
DOI: 10.2741/2711     Document Type: Review

References (68)