Articles with public access mandates - Paul J KennedyLearn more
Not available anywhere: 2
Dual implicit mining-based latent friend recommendation
L Cui, J Wu, D Pi, P Zhang, P Kennedy
IEEE transactions on systems, man, and cybernetics: systems 50 (5), 1663-1678, 2018
Mandates: National Natural Science Foundation of China
Identification of lung cancer miRNA–miRNA co-regulation networks through a progressive data refining approach
R Song, DR Catchpoole, PJ Kennedy, J Li
Journal of theoretical biology 380, 271-279, 2015
Mandates: Australian Research Council
Available somewhere: 9
A combined convolutional and recurrent neural network for enhanced glaucoma detection
S Gheisari, S Shariflou, J Phu, PJ Kennedy, A Agar, M Kalloniatis, ...
Scientific reports 11 (1), 1945, 2021
Mandates: National Health and Medical Research Council, Australia
A guide to current methodology and usage of reverse vaccinology towards in silico vaccine discovery
SJ Goodswen, PJ Kennedy, JT Ellis
FEMS Microbiology Reviews 47 (2), fuad004, 2023
Mandates: Australian Research Council
Identification of differentially distributed gene expression and distinct sets of cancer-related genes identified by changes in mean and variability
AGK Roberts, DR Catchpoole, PJ Kennedy
NAR Genomics and Bioinformatics 4 (1), lqab124, 2022
Mandates: US National Institutes of Health
"That Student Should be a Lion Tamer!" StressViz: Designing a Stress Analytics Dashboard for Teachers
RD Alfredo, L Nie, P Kennedy, T Power, C Hayes, H Chen, C McGregor, ...
Mandates: Australian Research Council
Identifying brain abnormalities with schizophrenia based on a hybrid feature selection technology
C Qiao, L Lu, L Yang, PJ Kennedy
Applied Sciences 9 (10), 2148, 2019
Mandates: National Natural Science Foundation of China
A state-of-the-art methodology for high-throughput in silico vaccine discovery against protozoan parasites and exemplified with discovered candidates for Toxoplasma gondii
SJ Goodswen, PJ Kennedy, JT Ellis
Scientific Reports 13 (1), 8243, 2023
Mandates: Australian Research Council
Applying Machine Learning to Predict the Exportome of Bovine and Canine Babesia Species That Cause Babesiosis
SJ Goodswen, PJ Kennedy, JT Ellis
Pathogens 10 (6), 660, 2021
Mandates: Australian Research Council
Predicting protein therapeutic candidates for bovine babesiosis using secondary structure properties and machine learning
SJ Goodswen, PJ Kennedy, JT Ellis
Frontiers in Genetics 12, 716132, 2021
Mandates: Australian Research Council
Compilation of parasitic immunogenic proteins from 30 years of published research using machine learning and natural language processing
SJ Goodswen, PJ Kennedy, JT Ellis
Scientific Reports 12 (1), 10349, 2022
Mandates: Australian Research Council
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