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» Microarray results: how accurate are they
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BMCBI
2007
134views more  BMCBI 2007»
13 years 10 months ago
A framework for significance analysis of gene expression data using dimension reduction methods
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...
BMCBI
2006
186views more  BMCBI 2006»
13 years 10 months ago
Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
Background: Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments....
Xiaoli Li, Yin-Chet Tan, See-Kiong Ng
ISM
2006
IEEE
75views Multimedia» more  ISM 2006»
14 years 3 months ago
True Images: A Calibration Technique to Reproduce Images as Recorded
When the user of a digital camera records an image, there is some presumption that when displayed, there is an accurate tonal representation. However, this is almost never the cas...
Corey Manders, Steve Mann
BIOCOMP
2006
13 years 11 months ago
Marker Gene Selection Evaluation in Brain Tumor Patients Using Parallel Coordinates
Based on microarray gene expression datasets, many statistical methods have been proposed to locate the significant differentially expressed genes (marker genes) among different sa...
Atiq Islam, Khan M. Iftekharuddin, David J. Russom...
BMCBI
2010
190views more  BMCBI 2010»
13 years 10 months ago
A parallel and incremental algorithm for efficient unique signature discovery on DNA databases
Background: DNA signatures are distinct short nucleotide sequences that provide valuable information that is used for various purposes, such as the design of Polymerase Chain Reac...
Hsiao Ping Lee, Tzu-Fang Sheu, Chuan Yi Tang