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Paul J Kennedy

Showing results (1-10 of 56) with videos related to

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Evolutionary Computation|March 10, 2010
Static and dynamic selection thresholds governing the accumulation of information in genetic algorithms using ranked populationsJohn Milton, Paul J Kennedy
Vaccine|May 16, 2025
Multi-criteria decision making and its application to in silico discovery of vaccine candidates for Toxoplasma gondiiJohn T Ellis, Paul J Kennedy
Scientific Data|September 8, 2023
A review of the machine learning datasets in mammography, their adherence to the FAIR principles and the outlook for the futureJoe Logan, Paul J Kennedy, Daniel Catchpoole
BMC Bioinformatics|August 12, 2014
Cellular quantitative analysis of neuroblastoma tumor and splitting overlapping cellsSiamak Tafavogh, Daniel R Catchpoole, Paul J Kennedy
Life (Basel, Switzerland)|December 24, 2021
SMCKAT, a Sequential Multi-Dimensional CNV Kernel-Based Association TestNastaran Maus Esfahani, Daniel Catchpoole, Paul J Kennedy
BMC Bioinformatics|December 1, 2017
DBNorm: normalizing high-density oligonucleotide microarray data based on distributionsQinxue Meng, Daniel Catchpoole, David Skillicorn, et al.
Pathogens (Basel, Switzerland)|June 2, 2021
Applying Machine Learning to Predict the Exportome of Bovine and Canine <i>Babesia</i> Species That Cause BabesiosisStephen J Goodswen, Paul J Kennedy, John T Ellis
Methods in Molecular Biology (Clifton, N.J.)|September 22, 2020
Computational Antigen Discovery for Eukaryotic Pathogens Using VacceedStephen J Goodswen, Paul J Kennedy, John T Ellis
Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases|September 19, 2012
A review of the infection, genetics, and evolution of Neospora caninum: from the past to the presentStephen J Goodswen, Paul J Kennedy, John T Ellis
Frontiers in Genetics|August 9, 2021
Predicting Protein Therapeutic Candidates for Bovine Babesiosis Using Secondary Structure Properties and Machine LearningStephen J Goodswen, Paul J Kennedy, John T Ellis
Pageof 6

Showing results (1-10 of 56) with videos related to

Sort By:
Pageof 6
Evolutionary Computation|March 10, 2010
Static and dynamic selection thresholds governing the accumulation of information in genetic algorithms using ranked populationsJohn Milton, Paul J Kennedy
Vaccine|May 16, 2025
Multi-criteria decision making and its application to in silico discovery of vaccine candidates for Toxoplasma gondiiJohn T Ellis, Paul J Kennedy
Scientific Data|September 8, 2023
A review of the machine learning datasets in mammography, their adherence to the FAIR principles and the outlook for the futureJoe Logan, Paul J Kennedy, Daniel Catchpoole
BMC Bioinformatics|August 12, 2014
Cellular quantitative analysis of neuroblastoma tumor and splitting overlapping cellsSiamak Tafavogh, Daniel R Catchpoole, Paul J Kennedy
Life (Basel, Switzerland)|December 24, 2021
SMCKAT, a Sequential Multi-Dimensional CNV Kernel-Based Association TestNastaran Maus Esfahani, Daniel Catchpoole, Paul J Kennedy
BMC Bioinformatics|December 1, 2017
DBNorm: normalizing high-density oligonucleotide microarray data based on distributionsQinxue Meng, Daniel Catchpoole, David Skillicorn, et al.
Pathogens (Basel, Switzerland)|June 2, 2021
Applying Machine Learning to Predict the Exportome of Bovine and Canine <i>Babesia</i> Species That Cause BabesiosisStephen J Goodswen, Paul J Kennedy, John T Ellis
Methods in Molecular Biology (Clifton, N.J.)|September 22, 2020
Computational Antigen Discovery for Eukaryotic Pathogens Using VacceedStephen J Goodswen, Paul J Kennedy, John T Ellis
Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases|September 19, 2012
A review of the infection, genetics, and evolution of Neospora caninum: from the past to the presentStephen J Goodswen, Paul J Kennedy, John T Ellis
Frontiers in Genetics|August 9, 2021
Predicting Protein Therapeutic Candidates for Bovine Babesiosis Using Secondary Structure Properties and Machine LearningStephen J Goodswen, Paul J Kennedy, John T Ellis
Pageof 6