1.
Int J Tuberc Lung Dis
; 25(4): 318-320, 2021 04 01.
Article
in English
| MEDLINE
| ID: mdl-33762076
2.
Pac Symp Biocomput
; : 462-73, 2002.
Article
in English
| MEDLINE
| ID: mdl-11928499
ABSTRACT
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.