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RECOMB
2002
Springer
16 years 6 months ago
From promoter sequence to expression: a probabilistic framework
We present a probabilistic framework that models the process by which transcriptional binding explains the mRNA expression of different genes. Our joint probabilistic model unifie...
Eran Segal, Yoseph Barash, Itamar Simon, Nir Fried...
IMSCCS
2006
IEEE
16 years 11 days ago
Clustering of Gene Expression Data: Performance and Similarity Analysis
Background: DNA Microarray technology is an innovative methodology in experimental molecular biology, which has produced huge amounts of valuable data in the profile of gene expre...
Longde Yin, Chun-Hsi Huang
BMCBI
2008
167views more  BMCBI 2008»
15 years 6 months ago
Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classificat
Background: Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of ide...
Michael Gormley, Aydin Tozeren
BMCBI
2006
131views more  BMCBI 2006»
15 years 6 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,...
ICC
2011
IEEE
237views Communications» more  ICC 2011»
14 years 6 months ago
Reorganized and Compact DFA for Efficient Regular Expression Matching
—Regular expression matching has become a critical yet challenging technique in content-aware network processing, such as application identification and deep inspection. To meet ...
Kai Wang, Yaxuan Qi, Yibo Xue, Jun Li