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» Using Multiple Alignments to Improve Gene Prediction
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129
Voted
BMCBI
2010
135views more  BMCBI 2010»
15 years 3 months ago
Simple and flexible classification of gene expression microarrays via Swirls and Ripples
Background: A simple classification rule with few genes and parameters is desirable when applying a classification rule to new data. One popular simple classification rule, diagon...
Stuart G. Baker
128
Voted
BMCBI
2010
208views more  BMCBI 2010»
15 years 3 months ago
A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...
Pengyi Yang, Bing Bing Zhou, Zili Zhang, Albert Y....
152
Voted
BMCBI
2010
97views more  BMCBI 2010»
15 years 1 months ago
Preprocessing of gene expression data by optimally robust estimators
Background: The preprocessing of gene expression data obtained from several platforms routinely includes the aggregation of multiple raw signal intensities to one expression value...
Matthias Kohl, Hans-Peter Deigner
129
Voted
BMCBI
2010
145views more  BMCBI 2010»
15 years 3 months ago
JCoDA: a tool for detecting evolutionary selection
Background: The incorporation of annotated sequence information from multiple related species in commonly used databases (Ensembl, Flybase, Saccharomyces Genome Database, Wormbase...
Steven N. Steinway, Ruth Dannenfelser, Christopher...
114
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Robust cross-race gene expression analysis
This paper develops a Bayesian network (BN) predictor to profile cross-race gene expression data. Cross-race studies face more data variability than single-lab studies. Our desig...
Hsun-Hsien Chang, Marco Ramoni