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BMCBI
2006
131views more  BMCBI 2006»
14 years 12 months ago
The statistics of identifying differentially expressed genes in Expresso and TM4: a comparison
Background: Analysis of DNA microarray data takes as input spot intensity measurements from scanner software and returns differential expression of genes between two conditions, t...
Allan A. Sioson, Shrinivasrao P. Mane, Pinghua Li,...
BMCBI
2006
108views more  BMCBI 2006»
14 years 12 months ago
Improved Chou-Fasman method for protein secondary structure prediction
Background: Protein secondary structure prediction is a fundamental and important component in the analytical study of protein structure and functions. The prediction technique ha...
Hang Chen, Fei Gu, Zhengge Huang
BMCBI
2006
173views more  BMCBI 2006»
14 years 12 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
BMCBI
2006
86views more  BMCBI 2006»
14 years 12 months ago
Identification of QTLs controlling gene expression networks defined a priori
Background: Gene expression microarrays allow the quantification of transcript accumulation for many or all genes in a genome. This technology has been utilized for a range of inv...
Daniel J. Kliebenstein, Marilyn A. L. West, Hans v...
CSDA
2006
103views more  CSDA 2006»
14 years 12 months ago
LASS: a tool for the local analysis of self-similarity
The Hurst parameter H characterizes the degree of long-range dependence (and asymptotic selfsimilarity) in stationary time series. Many methods have been developed for the estimat...
Stilian Stoev, Murad S. Taqqu, Cheolwoo Park, Geor...
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