Sciweavers

1305 search results - page 10 / 261
» Clustering Genes Using Heterogeneous Data Sources
Sort
View
CSB
2005
IEEE
205views Bioinformatics» more  CSB 2005»
14 years 4 months ago
Fractal Clustering for Microarray Data Analysis
DNA microarray experiments generate a substantial amount of information about global gene expression. Gene expression profiles can be represented as points in multi-dimensional sp...
Lu-Yong Wang, Ammaiappan Balasubramanian, Amit Cha...
BMCBI
2007
173views more  BMCBI 2007»
13 years 11 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
DBKDA
2009
IEEE
136views Database» more  DBKDA 2009»
14 years 2 months ago
Visualization and Integration of Databases Using Self-Organizing Map
Abstract--With the growing computer networks, accessible data is becoming increasing distributed. Understanding and integrating remote and unfamiliar data sources are important dat...
Farid Bourennani, Ken Q. Pu, Ying Zhu
BIOINFORMATICS
2007
195views more  BIOINFORMATICS 2007»
13 years 11 months ago
Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
Motivation: High-throughput expression profiling allows researchers to study gene activities globally. Genes with similar expression profiles are likely to encode proteins that ma...
Shinsheng Yuan, Ker-Chau Li
BMCBI
2005
142views more  BMCBI 2005»
13 years 10 months ago
CLU: A new algorithm for EST clustering
Background: The continuous flow of EST data remains one of the richest sources for discoveries in modern biology. The first step in EST data mining is usually associated with EST ...
Andrey A. Ptitsyn, Winston Hide