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Artificial intelligence

Using Support Vector Machines with Multiple Indices of Diffusion for Automated Classification of Mild Cognitive Impairment

Laurence O'Dwyer, Franck Lamberton, [ ... ], Harald Hampel

A Data-Driven Predictive Approach for Drug Delivery Using Machine Learning Techniques

YuanYuan Li, Scott C. Lenaghan, Mingjun Zhang

TEPITOPEpan: Extending TEPITOPE for Peptide Binding Prediction Covering over 700 HLA-DR Molecules

Lianming Zhang, Yiqing Chen, [ ... ], Shanfeng Zhu

iNR-PhysChem: A Sequence-Based Predictor for Identifying Nuclear Receptors and Their Subfamilies via Physical-Chemical Property Matrix

Xuan Xiao, Pu Wang, Kuo-Chen Chou

A New Method for Species Identification via Protein-Coding and Non-Coding DNA Barcodes by Combining Machine Learning with Bioinformatic Methods

Ai-bing Zhang, Jie Feng, [ ... ], Wei-zhong Zhao

Genome-Wide Maps of Circulating miRNA Biomarkers for Ulcerative Colitis

Radha Duttagupta, Sharon DiRienzo, [ ... ], Keith W. Jones

Segmentation of Multi-Isotope Imaging Mass Spectrometry Data for Semi-Automatic Detection of Regions of Interest

Philipp Gormanns, Stefan Reckow, [ ... ], Claude Lechene

Identification of Amino Acid Propensities That Are Strong Determinants of Linear B-cell Epitope Using Neural Networks

Chun-Hung Su, Nikhil R. Pal, Ken-Li Lin, I-Fang Chung

Dirichlet Multinomial Mixtures: Generative Models for Microbial Metagenomics

Ian Holmes, Keith Harris, Christopher Quince

TANGLE: Two-Level Support Vector Regression Approach for Protein Backbone Torsion Angle Prediction from Primary Sequences

Jiangning Song, Hao Tan, [ ... ], Tatsuya Akutsu

An Ensemble Classifier for Eukaryotic Protein Subcellular Location Prediction Using Gene Ontology Categories and Amino Acid Hydrophobicity

Liqi Li, Yuan Zhang, [ ... ], Yue Zhou

Ecological Footprint Model Using the Support Vector Machine Technique

Haibo Ma, Wenjuan Chang, Guangbai Cui

Extracting Diagnoses and Investigation Results from Unstructured Text in Electronic Health Records by Semi-Supervised Machine Learning

Zhuoran Wang, Anoop D. Shah, [ ... ], Harry Hemingway

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