Genome-wide pathway analysis and visualization using gene expression data.
Visualization of results for high performance computing pose special problems due to the complexity and the volume of data these systems manipulate. We present an approach for visualization of c-DNA microarray gene expression data in metabolic and regulatory pathways using multi-resolution animation at different levels of detail. We describe three scoring functions to characterize pathways at the transcriptional level based on gene expression, coregulation and cascade effect. We also assess the significance of each pathway score on the basis of their biological connotation.
Kurhekar
M P
MP
Bioinformatics Group, IBM India Research Lab, Block 1, Indian Institute of Technology, Hauz Khas, New Delhi, India 110016. mkurhekar,asudeshn@in.ibm.com
Adak
S
S
Jhunjhunwala
S
S
Raghupathy
K
K
D000818:Animals; D016208:Databases, Factual; D015870:Gene Expression; D016678:Genome; D006019:Glycolysis / Q000235:genetics; D020411:Oligonucleotide Array Sequence Analysis; D010085:Oxidative Phosphorylation; D012269:Ribosomal Proteins / Q000235:genetics
D012269:Ribosomal Proteins