800 search results - page 70 / 160 » A Repulsive Clustering Algorithm for Gene Expression Data |
ICML
2005
IEEE
2005
IEEE
Active learning for sampling in time-series experiments with application to gene expression analysis
14 years 9 months ago
Many time-series experiments seek to estimate some signal as a continuous function of time. In this paper, we address the sampling problem for such experiments: determining which ...
ICDM
2005
IEEE
14 years 2 months ago
2005
IEEE
We address the issue of providing highly informative and comprehensive annotations using information revealed by the structured vocabularies of Gene Ontology (GO). For a target, a...
ICDM
2006
IEEE
14 years 3 months ago
2006
IEEE
Most clustering algorithms are partitional in nature, assigning each data point to exactly one cluster. However, several real world datasets have inherently overlapping clusters i...
RECOMB
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. Pharmacogenomics and clinical studies that measure the temporal expression levels of patients can identify important pathways and biomarkers that are activated during dis...
BMCBI
2007
13 years 9 months ago
2007
Background: Although prognostic biomarkers specific for particular cancers have been discovered, microarray analysis of gene expression profiles, supported by integrative analysis...