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BMCBI
2006
183views more  BMCBI 2006»
15 years 2 months ago
Mining gene expression data by interpreting principal components
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
Joseph C. Roden, Brandon W. King, Diane Trout, Ali...
BMCBI
2006
129views more  BMCBI 2006»
15 years 2 months ago
Identifying genes that contribute most to good classification in microarrays
Background: The goal of most microarray studies is either the identification of genes that are most differentially expressed or the creation of a good classification rule. The dis...
Stuart G. Baker, Barnett S. Kramer
BMCBI
2007
123views more  BMCBI 2007»
15 years 2 months ago
BIRCH: A user-oriented, locally-customizable, bioinformatics system
Background: Molecular biologists need sophisticated analytical tools which often demand extensive computational resources. While finding, installing, and using these tools can be ...
Brian Fristensky
BMCBI
2007
105views more  BMCBI 2007»
15 years 2 months ago
Extended analysis of benchmark datasets for Agilent two-color microarrays
Background: As part of its broad and ambitious mission, the MicroArray Quality Control (MAQC) project reported the results of experiments using External RNA Controls (ERCs) on fiv...
Kathleen F. Kerr
BMCBI
2005
93views more  BMCBI 2005»
15 years 2 months ago
Two-part permutation tests for DNA methylation and microarray data
Background: One important application of microarray experiments is to identify differentially expressed genes. Often, small and negative expression levels were clipped-off to be e...
Markus Neuhäuser, Tanja Boes, Karl-Heinz J&ou...