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78
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BMCBI
2006
169views more  BMCBI 2006»
14 years 10 months ago
Finding biological process modifications in cancer tissues by mining gene expression correlations
Background: Through the use of DNA microarrays it is now possible to obtain quantitative measurements of the expression of thousands of genes from a biological sample. This techno...
Giacomo Gamberoni, Sergio Storari, Stefano Volinia
BMCBI
2006
124views more  BMCBI 2006»
14 years 10 months ago
ZCURVE_V: a new self-training system for recognizing protein-coding genes in viral and phage genomes
Background: It necessary to use highly accurate and statistics-based systems for viral and phage genome annotations. The GeneMark systems for gene-finding in virus and phage genom...
Feng-Biao Guo, Chun-Ting Zhang
88
Voted
BMCBI
2006
146views more  BMCBI 2006»
14 years 10 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
82
Voted
BMCBI
2006
90views more  BMCBI 2006»
14 years 10 months ago
The PowerAtlas: a power and sample size atlas for microarray experimental design and research
Background: Microarrays permit biologists to simultaneously measure the mRNA abundance of thousands of genes. An important issue facing investigators planning microarray experimen...
Grier P. Page, Jode W. Edwards, Gary L. Gadbury, P...
91
Voted
BMCBI
2006
126views more  BMCBI 2006»
14 years 10 months ago
OpWise: Operons aid the identification of differentially expressed genes in bacterial microarray experiments
Background: Differentially expressed genes are typically identified by analyzing the variation between replicate measurements. These procedures implicitly assume that there are no...
Morgan N. Price, Adam P. Arkin, Eric J. Alm