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Machine learning

Identifying Neural Patterns of Functional Dyspepsia Using Multivariate Pattern Analysis: A Resting-State fMRI Study

Peng Liu, Wei Qin, [ ... ], Jie Tian

Re-Annotation of Protein-Coding Genes in the Genome of Saccharomyces cerevisiae Based on Support Vector Machines

Dan Lin, Xin Yin, [ ... ], Feng-Biao Guo

The Role of Balanced Training and Testing Data Sets for Binary Classifiers in Bioinformatics

Qiong Wei, Roland L. Dunbrack Jr

The Statistical Analysis of Multi-Voxel Patterns in Functional Imaging

Kai Schreiber, Bart Krekelberg

Subspace Identification and Classification of Healthy Human Gait

Vinzenz von Tscharner, Hendrik Enders, Christian Maurer

Modeling Change in Learning Strategies throughout Higher Education: A Multi-Indicator Latent Growth Perspective

Liesje Coertjens, Vincent Donche, [ ... ], Peter Van Petegem

LegumeGRN: A Gene Regulatory Network Prediction Server for Functional and Comparative Studies

Mingyi Wang, Jerome Verdier, [ ... ], Ji He

In silico Platform for Prediction of N-, O- and C-Glycosites in Eukaryotic Protein Sequences

Jagat Singh Chauhan, Alka Rao, Gajendra P. S. Raghava

Language Individuation and Marker Words: Shakespeare and His Maxwell's Demon

John Marsden, David Budden, Hugh Craig, Pablo Moscato

Mining Proteins with Non-Experimental Annotations Based on an Active Sample Selection Strategy for Predicting Protein Subcellular Localization

Junzhe Cao, Wenqi Liu, Jianjun He, Hong Gu

Predicting Drug-Target Interactions for New Drug Compounds Using a Weighted Nearest Neighbor Profile

Twan van Laarhoven, Elena Marchiori

An Information-Theoretic Machine Learning Approach to Expression QTL Analysis

Tao Huang, Yu-Dong Cai

Computational Phenotype Discovery Using Unsupervised Feature Learning over Noisy, Sparse, and Irregular Clinical Data

Thomas A. Lasko, Joshua C. Denny, Mia A. Levy

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