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» Statistical significance in biological sequence analysis
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CORR
2007
Springer
100views Education» more  CORR 2007»
14 years 12 months ago
Identifying statistical dependence in genomic sequences via mutual information estimates
Questions of understanding and quantifying the representation and amount of information in organisms have become a central part of biological research, as they potentially hold th...
H. M. Aktulga, I. Kontoyiannis, L. A. Lyznik, Luka...
BMCBI
2006
155views more  BMCBI 2006»
14 years 12 months ago
Analysis of promoter regions of co-expressed genes identified by microarray analysis
Background: The use of global gene expression profiling to identify sets of genes with similar expression patterns is rapidly becoming a widespread approach for understanding biol...
Srinivas Veerla, Mattias Höglund
BMCBI
2008
195views more  BMCBI 2008»
15 years 5 hour ago
Goldsurfer2 (Gs2): A comprehensive tool for the analysis and visualization of genome wide association studies
Background: Genome wide association (GWA) studies are now being widely undertaken aiming to find the link between genetic variations and common diseases. Ideally, a well-powered G...
Fredrik Pettersson, Andrew P. Morris, Michael R. B...
TCBB
2010
91views more  TCBB 2010»
14 years 6 months ago
SCS: Signal, Context, and Structure Features for Genome-Wide Human Promoter Recognition
This paper integrates the signal, context and structure features for genome-wide promoter recognition, which is critical in many DNA sequence analysis tasks. First, CpG islands ar...
Jia Zeng, Xiaoyu Zhao, Xiao-Qin Cao, Hong Yan
ISMB
1994
15 years 1 months ago
DNA Sequence Analysis Using Hierarchical ART-based Classification Network
Adaptive resonance theory (ART)describes a class of artificial neural networkarchitectures that act as classification tools whichself-organize, workin realtime, and require no ret...
Cathie LeBlanc, Charles R. Katholi, Thomas R. Unna...