List of works - Paul Kennedy

A balanced iterative random forest for gene selection from microarray data

scientific article

A combined convolutional and recurrent neural network for enhanced glaucoma detection

scientific article published on 21 January 2021

A guide to in silico vaccine discovery for eukaryotic pathogens

scientific article

A novel strategy for classifying the output from an in silico vaccine discovery pipeline for eukaryotic pathogens using machine learning algorithms

scientific article

A review of the infection, genetics, and evolution of Neospora caninum: from the past to the present.

scientific article published on 15 September 2012

Case-based retrieval framework for gene expression data

scientific article

Cellular quantitative analysis of neuroblastoma tumor and splitting overlapping cells

scientific article

Computer Aided Classification of Neuroblastoma Histological Images Using Scale Invariant Feature Transform with Feature Encoding

scientific article published on 28 August 2018

Discovering a vaccine against neosporosis using computers: is it feasible?

scientific article published on 12 July 2014

Enhancing in silico protein-based vaccine discovery for eukaryotic pathogens using predicted peptide-MHC binding and peptide conservation scores.

scientific article

Ensemble Feature Learning of Genomic Data Using Support Vector Machine

scientific article

Evaluating high-throughput ab initio gene finders to discover proteins encoded in eukaryotic pathogen genomes missed by laboratory techniques

scientific article

IR-ER- A Hybrid Pipeline for Classifying COVID-19 RNA Seq Data

scientific article published on 13 March 2023

Identification of differentially distributed gene expression and distinct sets of cancer-related genes identified by changes in mean and variability

scientific article published on 14 January 2022

Identification of lung cancer miRNA-miRNA co-regulation networks through a progressive data refining approach.

scientific article

Non-parametric and integrated framework for segmenting and counting neuroblastic cells within neuroblastoma tumor images

scientific article published on 29 January 2013

Predicting Protein Therapeutic Candidates for Bovine Babesiosis Using Secondary Structure Properties and Machine Learning

scientific article published on 23 July 2021

Static and dynamic selection thresholds governing the accumulation of information in genetic algorithms using ranked populations

scientific article published in January 2010

The core mouse response to infection by neospora caninum defined by gene set enrichment analyses.

scientific article published on 03 September 2012

The curse of dimensionality: a blessing to personalized medicine

scientific article published on 01 November 2010

Unsupervised Domain-Adaptation-Based Tensor Feature Learning With Structure Preservation

scientific article published in 2022

Vacceed: a high-throughput in silico vaccine candidate discovery pipeline for eukaryotic pathogens based on reverse vaccinology

scientific article published on 29 April 2014

List of works by Paul Kennedy

A balanced iterative random forest for gene selection from microarray data

A combined convolutional and recurrent neural network for enhanced glaucoma detection

A guide to in silico vaccine discovery for eukaryotic pathogens

A novel strategy for classifying the output from an in silico vaccine discovery pipeline for eukaryotic pathogens using machine learning algorithms

A review of the infection, genetics, and evolution of Neospora caninum: from the past to the present.

Case-based retrieval framework for gene expression data

Cellular quantitative analysis of neuroblastoma tumor and splitting overlapping cells

Computer Aided Classification of Neuroblastoma Histological Images Using Scale Invariant Feature Transform with Feature Encoding

Discovering a vaccine against neosporosis using computers: is it feasible?

Enhancing in silico protein-based vaccine discovery for eukaryotic pathogens using predicted peptide-MHC binding and peptide conservation scores.

Ensemble Feature Learning of Genomic Data Using Support Vector Machine

Evaluating high-throughput ab initio gene finders to discover proteins encoded in eukaryotic pathogen genomes missed by laboratory techniques

IR-ER- A Hybrid Pipeline for Classifying COVID-19 RNA Seq Data

Identification of differentially distributed gene expression and distinct sets of cancer-related genes identified by changes in mean and variability

Identification of lung cancer miRNA-miRNA co-regulation networks through a progressive data refining approach.

Non-parametric and integrated framework for segmenting and counting neuroblastic cells within neuroblastoma tumor images

Predicting Protein Therapeutic Candidates for Bovine Babesiosis Using Secondary Structure Properties and Machine Learning

Static and dynamic selection thresholds governing the accumulation of information in genetic algorithms using ranked populations

The core mouse response to infection by neospora caninum defined by gene set enrichment analyses.

The curse of dimensionality: a blessing to personalized medicine

Unsupervised Domain-Adaptation-Based Tensor Feature Learning With Structure Preservation

Vacceed: a high-throughput in silico vaccine candidate discovery pipeline for eukaryotic pathogens based on reverse vaccinology