539 search results - page 30 / 108 » Finding Groups in Data: Cluster Analysis with Ants |
BMCBI
2007
13 years 7 months ago
2007
Background: With the increased availability of high throughput data, such as DNA microarray data, researchers are capable of producing large amounts of biological data. During the...
ICDE
2007
IEEE
14 years 8 months ago
2007
IEEE
Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...
BIBE
2004
IEEE
13 years 11 months ago
2004
IEEE
As the capture and analysis of single-time-point microarray expression data becomes routine, investigators are turning to time-series expression data to investigate complex gene r...
BMCBI
2007
13 years 7 months ago
2007
Background: Recent analyses have suggested that many genes possess multiple transcription start sites (TSSs) that are differentially utilized in different tissues and cell lines. ...
BMCBI
2005
13 years 7 months ago
2005
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...