Semi-supervised gene shaving method for predicting low variation biological pathways from genome-wide data

BMC Bioinformatics

Volumn 10, Issue SUPPL. 1, 2009, Pages

  Zhu, Dongxiao ^a,b  

^a USA   (United States)

^b CHILDREN S HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL PATHWAYS; DISCRIMINATING POWER; EXPRESSION VARIATIONS; GENE CLUSTERING; MICROARRAY DATA SETS; PRINCIPAL COMPONENTS; PRIOR KNOWLEDGE; SIGNALING PATHWAYS;

GENE EXPRESSION; PIGMENTS; PRINCIPAL COMPONENT ANALYSIS; SIGNALING; BIOINFORMATICS;

CLUSTERING ALGORITHMS;

NOTCH RECEPTOR; WNT PROTEIN;

ALGORITHM; ARTICLE; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENETICS; GENOME; METHODOLOGY; MULTIGENE FAMILY;

ALGORITHMS; GENE EXPRESSION PROFILING; GENOME; MULTIGENE FAMILY; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; RECEPTORS, NOTCH; WNT PROTEINS;

EID: 60849107723     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-S1-S54     Document Type: Article

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