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» A stable gene selection in microarray data analysis
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BMCBI
2008
98views more  BMCBI 2008»
13 years 8 months ago
Assessing probe-specific dye and slide biases in two-color microarray data
Background: A primary reason for using two-color microarrays is that the use of two samples labeled with different dyes on the same slide, that bind to probes on the same spot, is...
Ruixiao Lu, Geun-Cheol Lee, Michael Shultz, Chris ...
BMCBI
2007
167views more  BMCBI 2007»
13 years 7 months ago
A stochastic differential equation model for transcriptional regulatory networks
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
Adriana Climescu-Haulica, Michelle D. Quirk
BMCBI
2006
91views more  BMCBI 2006»
13 years 8 months ago
In silico identification of putative promoter motifs of White Spot Syndrome Virus
Background: White Spot Syndrome Virus, a member of the virus family Nimaviridae, is a large dsDNA virus infecting shrimp and other crustacean species. Although limited information...
Hendrik Marks, Xin-Ying Ren, Hans Sandbrink, Mari&...
BMCBI
2007
197views more  BMCBI 2007»
13 years 8 months ago
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Haseong Kim, Jae K. Lee, Taesung Park
CVPR
2004
IEEE
14 years 10 months ago
Feature Selection for Classifying High-Dimensional Numerical Data
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
Yimin Wu, Aidong Zhang