Advertisement

Browse Subject Areas

?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

Artificial intelligence

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

A Demonstration of the Transition from Ready-to-Hand to Unready-to-Hand

Dobromir G. Dotov, Lin Nie, Anthony Chemero

Real-Time Decision Fusion for Multimodal Neural Prosthetic Devices

James Robert White, Todd Levy, William Bishop, James D. Beaty

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

Advertisement

Create a weekly email alert for: Artificial intelligence

You can change these options by clicking profile then "Alerts and Notifications"