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Machine learning algorithms

Global Geometric Affinity for Revealing High Fidelity Protein Interaction Network

Yi Fang, William Benjamin, Mengtian Sun, Karthik Ramani

Computational Bacterial Genome-Wide Analysis of Phylogenetic Profiles Reveals Potential Virulence Genes of Streptococcus agalactiae

Frank Po-Yen Lin, Ruiting Lan, [ ... ], Enrico Coiera

Weight Trimming and Propensity Score Weighting

Brian K. Lee, Justin Lessler, Elizabeth A. Stuart

Predicting Phenotypic Severity of Uncertain Gene Variants in the RET Proto-Oncogene

David K. Crockett, Stephen R. Piccolo, [ ... ], Joyce A. Mitchell

Time since Introduction, Seed Mass, and Genome Size Predict Successful Invaders among the Cultivated Vascular Plants of Hawaii

John Paul Schmidt, John M. Drake

Identification and Optimization of Classifier Genes from Multi-Class Earthworm Microarray Dataset

Ying Li, Nan Wang, [ ... ], Ping Gong

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

Christopher A. Brown, Kevin S. Brown

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

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

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

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

Identification of a 5-Protein Biomarker Molecular Signature for Predicting Alzheimer's Disease

Martín Gómez Ravetti, Pablo Moscato

Global Considerations in Hierarchical Clustering Reveal Meaningful Patterns in Data

Roy Varshavsky, David Horn, Michal Linial

Estimation of Relevant Variables on High-Dimensional Biological Patterns Using Iterated Weighted Kernel Functions

Sergio Rojas-Galeano, Emily Hsieh, [ ... ], Delmiro Fernandez-Reyes

Single Trial Classification of Motor Imagination Using 6 Dry EEG Electrodes

Florin Popescu, Siamac Fazli, [ ... ], Klaus-R. Müller

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