1305 search results - page 43 / 261 » Clustering Genes Using Heterogeneous Data Sources |
SSDBM
2000
IEEE
14 years 3 months ago
2000
IEEE
The need for information integration is paramount in many biological disciplines, because of the large heterogeneity in both the types of data involved and in the diversity of app...
BIBE
2007
IEEE
14 years 3 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...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
A fuzzy c-means algorithm was adapted for analyzing microarray data. The adaptation consisted of initialization of fuzzy centroids using gene ontology information and the use of P...
CIBCB
2005
IEEE
14 years 4 months ago
2005
IEEE
— With the invention of high throughput methods, researchers are capable of producing large amounts of biological data. During the analysis of such data, the need for a functiona...
BMCBI
2010
13 years 8 months ago
2010
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...