Sciweavers

274 search results - page 8 / 55
» Selecting Informative Genes from Microarray Dataset by Incor...
Sort
View
BIBE
2004
IEEE
179views Bioinformatics» more  BIBE 2004»
14 years 9 days ago
Incorporating Ontology-Driven Similarity Knowledge into Functional Genomics: An Exploratory Study
This research explores the feasibility of semantic similarity approaches to supporting predictive tasks in functional genomics. It aims to establish potential relationships betwee...
Francisco Azuaje, Olivier Bodenreider
BMCBI
2005
153views more  BMCBI 2005»
13 years 8 months ago
Mining published lists of cancer related microarray experiments: Identification of a gene expression signature having a critical
Background: Routine application of gene expression microarray technology is rapidly producing large amounts of data that necessitate new approaches of analysis. The analysis of a ...
Giacomo Finocchiaro, Francesco Mancuso, Heiko M&uu...
BMCBI
2004
142views more  BMCBI 2004»
13 years 8 months ago
GOTree Machine (GOTM): a web-based platform for interpreting sets of interesting genes using Gene Ontology hierarchies
Background: Microarray and other high-throughput technologies are producing large sets of interesting genes that are difficult to analyze directly. Bioinformatics tools are needed...
Bing Zhang, Denise Schmoyer, Stefan Kirov, Jay Sno...
ICPR
2008
IEEE
14 years 3 months ago
A fuzzy c-means algorithm using a correlation metrics and gene ontology
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...
Mingrui Zhang, Terry M. Therneau, Michael A. McKen...
BMCBI
2006
154views more  BMCBI 2006»
13 years 8 months ago
An improved procedure for gene selection from microarray experiments using false discovery rate criterion
Background: A large number of genes usually show differential expressions in a microarray experiment with two types of tissues, and the p-values of a proper statistical test are o...
James J. Yang, Mark C. K. Yang