515 search results - page 28 / 103 » An approach for clustering gene expression data with error i... |
BMCBI
2004
13 years 7 months ago
2004
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 ...
BIBE
2007
IEEE
13 years 12 months ago
2007
IEEE
The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis...
BMCBI
2004
13 years 7 months ago
2004
Background: An important challenge for transcript counting methods such as Serial Analysis of Gene Expression (SAGE), "Digital Northern" or Massively Parallel Signature ...
BMCBI
2006
13 years 8 months ago
2006
Background: Many statistical algorithms combine microarray expression data and genome sequence data to identify transcription factor binding motifs in the low eukaryotic genomes. ...
BMCBI
2008
13 years 8 months ago
2008
Background: Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively l...