Sciweavers

475 search results - page 54 / 95
» Clustering cancer gene expression data: a comparative study
Sort
View
BMCBI
2004
150views more  BMCBI 2004»
15 years 6 months ago
Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data
Background: A key step in the analysis of microarray expression profiling data is the identification of genes that display statistically significant changes in expression signals ...
Dietmar E. Martin, Philippe Demougin, Michael N. H...
EVOW
2005
Springer
15 years 11 months ago
Order Preserving Clustering over Multiple Time Course Experiments
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
Stefan Bleuler, Eckart Zitzler
BMCBI
2006
240views more  BMCBI 2006»
15 years 6 months ago
Statistical analysis of real-time PCR data
Background: Even though real-time PCR has been broadly applied in biomedical sciences, data processing procedures for the analysis of quantitative real-time PCR are still lacking;...
Joshua S. Yuan, Ann Reed, Feng Chen, C. Neal Stewa...
BMCBI
2008
124views more  BMCBI 2008»
15 years 6 months ago
Literature-aided meta-analysis of microarray data: a compendium study on muscle development and disease
Background: Comparative analysis of expression microarray studies is difficult due to the large influence of technical factors on experimental outcome. Still, the identified diffe...
Rob Jelier, Peter A. C. 't Hoen, Ellen Sterrenburg...
IMSCCS
2006
IEEE
16 years 9 days ago
Combining Comparative Genomics with de novo Motif Discovery to Identify Human Transcription Factor DNA-Binding Motifs
Background: As more and more genomes are sequenced, comparative genomics approaches provide a methodology for identifying conserved regulatory elements that may be involved in gen...
Linyong Mao, W. Jim Zheng