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Machine Learning in the Life Sciences
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Employment
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Machine Learning in the Life Sciences
Krzysztof J. Cios, Lukasz A. Kurgan, and Marek Reformat
New Criteria for Selecting Differentially Expressed Genes
Lit-Hsin Loo, Samuel Roberts, Leonid Hrebien, and Moshe Kam
Using Clinical Information in Goal-Oriented Learning
Adam E. Gaweda, Mehmet K. Muezzinoglu, George R. Aronoff,
Alfred A. Jacobs, Jacek M. Zurada, and Michael E. Brier
Modeling the Effects of Toxins in Metabolic Networks
Alireza Tamaddoni-Nezhad, Raphael Chaleil,
Antonis C. Kakas, Michael Sternberg, Jeremy Nicholson, and Stephen Muggleton
Multilabel Associative Classification Categorization
of MEDLINE Articles into MeSH Keywords
Rafal Rak, Lukasz A. Kurgan, and Marek Reformat
Automated Heart Abnormality Detection
Using Sparse Linear Classifiers
Maleeha Qazi, Glenn Fung, Sriram Krishnan, Jinbo Bi, R. Bharat Rao,
and Alan S. Katz
Increasing the Depth of Anesthesia Assessment
Iead Rezek, Stephen J. Roberts, and Regina Conradt
Epileptic Seizure Detection
Ronald Schuyler, Andrew White, Kevin Staley, and Krzysztof J. Cios
A Pattern Recognition Application Framework
for Biomedical Datasets
Rodrigo Vivanco, Aleksander B. Demko, Mark Jarmasz, Ray L. Somorjai,
and Nick J. Pizzi
A Comprehensive Human Chromosome 21 Database
Cao Nguyen, Supphachai Thaicharoen, Thomas Lacroix,
Katheleen Gardiner, and Krzysztof J. Cios
