Sciweavers

979 search results - page 111 / 196
» Analysis of variance components in gene expression data
Sort
View
BMCBI
2010
112views more  BMCBI 2010»
14 years 10 months ago
PhenoFam-gene set enrichment analysis through protein structural information
Background: With the current technological advances in high-throughput biology, the necessity to develop tools that help to analyse the massive amount of data being generated is e...
Maciej Paszkowski-Rogacz, Mikolaj Slabicki, M. Ter...
BIBE
2001
IEEE
193views Bioinformatics» more  BIBE 2001»
15 years 1 months ago
GIMS - A Data Warehouse for Storage and Analysis of Genome Sequence and Functional Data
Effective analysis of genome sequences and associated functional data requires access to many different kinds of biological information. For example, when analysing gene expressio...
Mike Cornell, Norman W. Paton, Shengli Wu, Carole ...
BMCBI
2010
97views more  BMCBI 2010»
14 years 10 months ago
Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach
Background: For heterogeneous tissues, such as blood, measurements of gene expression are confounded by relative proportions of cell types involved. Conclusions have to rely on es...
Dirk Repsilber, Sabine Kern, Anna Telaar, Gerhard ...
BMCBI
2008
94views more  BMCBI 2008»
14 years 10 months ago
A comprehensive re-analysis of the Golden Spike data: Towards a benchmark for differential expression methods
Background: The Golden Spike data set has been used to validate a number of methods for summarizing Affymetrix data sets, sometimes with seemingly contradictory results. Much less...
Richard D. Pearson
EVOW
2005
Springer
15 years 3 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