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Machine learning

Validation of Coevolving Residue Algorithms via Pipeline Sensitivity Analysis: ELSC and OMES and ZNMI, Oh My!

Christopher A. Brown, Kevin S. Brown

Analysis of Antisense Expression by Whole Genome Tiling Microarrays and siRNAs Suggests Mis-Annotation of Arabidopsis Orphan Protein-Coding Genes

Casey R. Richardson, Qing-Jun Luo, [ ... ], Christopher D. Rock

Mechanisms of Maximum Information Preservation in the Drosophila Antennal Lobe

Ryota Satoh, Masafumi Oizumi, Hokto Kazama, Masato Okada

Inference of Functional Relations in Predicted Protein Networks with a Machine Learning Approach

Beatriz García-Jiménez, David Juan, [ ... ], Alfonso Valencia

FaaPred: A SVM-Based Prediction Method for Fungal Adhesins and Adhesin-Like Proteins

Jayashree Ramana, Dinesh Gupta

Predicting Drug-Target Interaction Networks Based on Functional Groups and Biological Features

Zhisong He, Jian Zhang, [ ... ], Kuo-Chen Chou

Bayesian Markov Random Field Analysis for Protein Function Prediction Based on Network Data

Yiannis A. I. Kourmpetis, Aalt D. J. van Dijk, [ ... ], Cajo J. F. ter Braak

Urinary Volatile Compounds as Biomarkers for Lung Cancer: A Proof of Principle Study Using Odor Signatures in Mouse Models of Lung Cancer

Koichi Matsumura, Maryanne Opiekun, [ ... ], Gary K. Beauchamp

A Neurosemantic Theory of Concrete Noun Representation Based on the Underlying Brain Codes

Marcel Adam Just, Vladimir L. Cherkassky, Sandesh Aryal, Tom M. Mitchell

Exploiting Amino Acid Composition for Predicting Protein-Protein Interactions

Sushmita Roy, Diego Martinez, [ ... ], Margaret Werner-Washburne

Comparing Artificial Neural Networks, General Linear Models and Support Vector Machines in Building Predictive Models for Small Interfering RNAs

Kyle A. McQuisten, Andrew S. Peek

Multiple Sclerosis: MicroRNA Expression Profiles Accurately Differentiate Patients with Relapsing-Remitting Disease from Healthy Controls

Andreas Keller, Petra Leidinger, [ ... ], Eckart Meese

An Introspective Comparison of Random Forest-Based Classifiers for the Analysis of Cluster-Correlated Data by Way of RF++

Yuliya V. Karpievitch, Elizabeth G. Hill, [ ... ], Jonas S. Almeida

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