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BMCBI
2008
148views more  BMCBI 2008»
15 years 3 months ago
Automating dChip: toward reproducible sharing of microarray data analysis
Background: During the past decade, many software packages have been developed for analysis and visualization of various types of microarrays. We have developed and maintained the...
Cheng Li
CIKM
2009
Springer
15 years 8 months ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...
BMCBI
2011
14 years 10 months ago
Learning genetic epistasis using Bayesian network scoring criteria
Background: Gene-gene epistatic interactions likely play an important role in the genetic basis of many common diseases. Recently, machine-learning and data mining methods have be...
Xia Jiang, Richard E. Neapolitan, M. Michael Barma...
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
15 years 7 months ago
Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification
Within the last two decades, Receiver Operating Characteristic (ROC) Curves have become a standard tool for the analysis and comparison of classifiers since they provide a conveni...
Stephan M. Winkler, Michael Affenzeller, Stefan Wa...
CORR
2010
Springer
74views Education» more  CORR 2010»
15 years 3 months ago
Significance of Classification Techniques in Prediction of Learning Disabilities
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
Julie M. David, Kannan Balakrishnan