515 search results - page 13 / 103 » An approach for clustering gene expression data with error i... |
BMCBI
2007
13 years 8 months ago
2007
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
PRL
2007
13 years 7 months ago
2007
Current approaches for the prediction of functional relations from gene expression data often do not have a clear methodology for extracting features and are not accompanied by a ...
EVOW
2005
Springer
14 years 1 months ago
2005
Springer
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...
VLDB
2004
ACM
14 years 1 months ago
2004
ACM
Discovering co-expressed genes and coherent expression patterns in gene expression data is an important data analysis task in bioinformatics research and biomedical applications. ...
BMCBI
2002
13 years 7 months ago
2002
Background: We provide a systematic study of the sources of variability in expression profiling data using 56 RNAs isolated from human muscle biopsies (34 Affymetrix MuscleChip ar...