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» Combined Gene Selection Methods for Microarray Data Analysis
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CSB
2005
IEEE
133views Bioinformatics» more  CSB 2005»
15 years 8 months ago
Biological Pathway Prediction from Multiple Data Sources Using Iterative Bayesian Updating
There is a diversity of functional genomics data, such as gene expression data from microarray experiments, phenotypic data from gene deletion experiments, protein-protein interac...
Corey Powell, Joshua M. Stuart
BMCBI
2006
156views more  BMCBI 2006»
15 years 3 months ago
Bayesian models for pooling microarray studies with multiple sources of replications
Background: Biologists often conduct multiple but different cDNA microarray studies that all target the same biological system or pathway. Within each study, replicate slides with...
Erin M. Conlon, Joon J. Song, Jun S. Liu
BMCBI
2002
147views more  BMCBI 2002»
15 years 2 months ago
Expression profiling of human renal carcinomas with functional taxonomic analysis
Background: Molecular characterization has contributed to the understanding of the inception, progression, treatment and prognosis of cancer. Nucleic acid array-based technologies...
Michael A. Gieseg, Theresa Cody, Michael Z. Man, S...
CIBCB
2005
IEEE
15 years 8 months ago
Predicting Single Genes Related to Immune-Relevant Processes
— In this paper we address the problem of predicting gene activities by finding gene regulatory dependencies in experimental DNA microarray data. Only few approaches to infer th...
Christian Spieth, Felix Streichert, Nora Speer, Ch...
BMCBI
2005
130views more  BMCBI 2005»
15 years 2 months ago
MiMiR: a comprehensive solution for storage, annotation and exchange of microarray data
Background: The generation of large amounts of microarray data presents challenges for data collection, annotation, exchange and analysis. Although there are now widely accepted f...
Mahendra Navarange, Laurence Game, Derek Fowler, V...