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Machine learning

Using Expression and Genotype to Predict Drug Response in Yeast

Douglas M. Ruderfer, David C. Roberts, [ ... ], Leonid Kruglyak

The Validation and Assessment of Machine Learning: A Game of Prediction from High-Dimensional Data

Tune H. Pers, Anders Albrechtsen, [ ... ], Thomas A. Gerds

SlimPLS: A Method for Feature Selection in Gene Expression-Based Disease Classification

Michael Gutkin, Ron Shamir, Gideon Dror

Models of Emergency Departments for Reducing Patient Waiting Times

Marek Laskowski, Robert D. McLeod, [ ... ], Attahiru S. Alfa

Prediction of Type III Secretion Signals in Genomes of Gram-Negative Bacteria

Martin Löwer, Gisbert Schneider

AllerHunter: A SVM-Pairwise System for Assessment of Allergenicity and Allergic Cross-Reactivity in Proteins

Hon Cheng Muh, Joo Chuan Tong, Martti T. Tammi

Features of Mammalian microRNA Promoters Emerge from Polymerase II Chromatin Immunoprecipitation Data

David L. Corcoran, Kusum V. Pandit, [ ... ], Panayiotis V. Benos

Cellular Phone Enabled Non-Invasive Tissue Classifier

Shlomi Laufer, Boris Rubinsky

Factors Influencing the Statistical Power of Complex Data Analysis Protocols for Molecular Signature Development from Microarray Data

Constantin F. Aliferis, Alexander Statnikov, [ ... ], Frank E. Harrell Jr.

Computational Identification of Protein Methylation Sites through Bi-Profile Bayes Feature Extraction

Jianlin Shao, Dong Xu, [ ... ], Sai-Ming Ngai

Role of 3′UTRs in the Translation of mRNAs Regulated by Oncogenic eIF4E—A Computational Inference

Arti N. Santhanam, Eckart Bindewald, [ ... ], Bruce A. Shapiro

Cepred: Predicting the Co-Expression Patterns of the Human Intronic microRNAs with Their Host Genes

Dong Wang, Ming Lu, [ ... ], Qinghua Cui

When Does Reward Maximization Lead to Matching Law?

Yutaka Sakai, Tomoki Fukai

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