Sciweavers

1526 search results - page 100 / 306
» Classification of microarray data using gene networks
Sort
View
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 10 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
BMCBI
2008
124views more  BMCBI 2008»
15 years 4 months ago
Ontology-based, Tissue MicroArray oriented, image centered tissue bank
Background: Tissue MicroArray technique is becoming increasingly important in pathology for the validation of experimental data from transcriptomic analysis. This approach produce...
Federica Viti, Ivan Merelli, Andrea Caprera, Barba...
165
Voted
IJBRA
2010
89views more  IJBRA 2010»
15 years 2 months ago
Strategies for enhanced annotation of a microarray probe set
—We aim to determine the biological relevance of genes identified through microarray-mediated transcriptional profiling of Xenopus sensory organs and brain tissue. Genetic data...
TuShun R. Powers, Selene M. Virk, Elba E. Serrano
174
Voted
JCB
2002
160views more  JCB 2002»
15 years 3 months ago
Inference from Clustering with Application to Gene-Expression Microarrays
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
Edward R. Dougherty, Junior Barrera, Marcel Brun, ...
112
Voted
CSDA
2007
151views more  CSDA 2007»
15 years 4 months ago
Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
An important goal of microarray studies is the detection of genes that show significant changes in observed expressions when two or more classes of biological samples such as tre...
Marco Alfò, Alessio Farcomeni, Luca Tardell...