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BMCBI
2006
190views more  BMCBI 2006»
15 years 6 months ago
SNPs3D: Candidate gene and SNP selection for association studies
Background: The relationship between disease susceptibility and genetic variation is complex, and many different types of data are relevant. We describe a web resource and databas...
Peng Yue, Eugene Melamud, John Moult
BMCBI
2006
129views more  BMCBI 2006»
15 years 6 months ago
Identifying genes that contribute most to good classification in microarrays
Background: The goal of most microarray studies is either the identification of genes that are most differentially expressed or the creation of a good classification rule. The dis...
Stuart G. Baker, Barnett S. Kramer
CSB
2005
IEEE
151views Bioinformatics» more  CSB 2005»
16 years 17 hour ago
Analysis of SNP-Expression Association Matrices
High throughput expression profiling and genotyping technologies provide the means to study the genetic determinants of population variation in gene expression variation. In this ...
Anya Tsalenko, Roded Sharan, Hege Edvardsen, Vesse...
SIGKDD
2002
92views more  SIGKDD 2002»
15 years 6 months ago
A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1)
In this paper, we present an automated text classification system for the classification of biomedical papers. This classification is based on whether there is experimental eviden...
S. Sathiya Keerthi, Chong Jin Ong, Keng Boon Siah,...
ISBI
2011
IEEE
14 years 10 months ago
Automated lineage tree reconstruction from Caenorhabditis elegans image data using particle filtering based cell tracking
Caenorhabditis elegans is an important model organism for the study of molecular mechanisms of development and disease processes, due to its well-known genome and invariant cell l...
Noemí Carranza-Herrezuelo, Ihor Smal, Oleh ...