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SDM
2010
SIAM
192views Data Mining» more  SDM 2010»
14 years 18 days ago
Fast and Accurate Gene Prediction by Decision Tree Classification
Gene prediction is one of the most challenging tasks in genome analysis, for which many tools have been developed and are still evolving. In this paper, we present a novel gene pr...
Rong She, Jeffrey Shih-Chieh Chu, Ke Wang, Nanshen...
BMCBI
2006
137views more  BMCBI 2006»
13 years 11 months ago
A classification-based framework for predicting and analyzing gene regulatory response
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...
Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chr...
BMCBI
2010
109views more  BMCBI 2010»
13 years 11 months ago
Predicting gene function using hierarchical multi-label decision tree ensembles
Background: S. cerevisiae, A. thaliana and M. musculus are well-studied organisms in biology and the sequencing of their genomes was completed many years ago. It is still a challe...
Leander Schietgat, Celine Vens, Jan Struyf, Hendri...
ICDE
2000
IEEE
130views Database» more  ICDE 2000»
15 years 15 days ago
CMP: A Fast Decision Tree Classifier Using Multivariate Predictions
Most decision tree classifiers are designed to keep class histograms for single attributes, and to select a particular attribute for the next split using said histograms. In this ...
Haixun Wang, Carlo Zaniolo
RECOMB
2004
Springer
14 years 11 months ago
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, ...