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Jaume Bacardit
PeerJ Editor & Author
1,235 Points

Contributions by role

Author 135
Editor 1,100

Contributions by subject area

Entomology
Evolutionary Studies
Parasitology
Zoology
Infectious Diseases
Agents and Multi-Agent Systems
Artificial Intelligence
Computational Linguistics
Data Mining and Machine Learning
Natural Language and Speech
Software Engineering
Bioinformatics
Computational Biology
Statistics
Data Science
Databases
Social Computing
Algorithms and Analysis of Algorithms
Genomics
Microbiology

Jaume Bacardit

PeerJ Editor & Author

Summary

Jaume Bacardit is a Senior Lecturer in Biodata Mining at Newcastle University. His research is focused on the development of machine learning methods for complex, and large-scale datasets, and the application of these to biological/biomedical problems.

Artificial Intelligence Bioinformatics Computational Biology Data Mining & Machine Learning Data Science

Editing Journals

PeerJ Computer Science

Work details

Senior Lecturer in Biodata Mining

Newcastle University
Computing Science

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 1
  • Edited 7
December 2, 2014
Susceptibility to experimental infection of the invertebrate locusts (Schistocerca gregaria) with the apicomplexan parasite Neospora caninum
Mamdowh M. Alkurashi, Sean T. May, Kenny Kong, Jaume Bacardit, David Haig, Hany M. Elsheikha
https://doi.org/10.7717/peerj.674 PubMed 25493211

Academic Editor on

January 28, 2019
Breast cancer detection using deep convolutional neural networks and support vector machines
Dina A. Ragab, Maha Sharkas, Stephen Marshall, Jinchang Ren
https://doi.org/10.7717/peerj.6201 PubMed 30713814
October 9, 2017
DGPathinter: a novel model for identifying driver genes via knowledge-driven matrix factorization with prior knowledge from interactome and pathways
Jianing Xi, Minghui Wang, Ao Li
https://doi.org/10.7717/peerj-cs.133
October 10, 2016
Machine learning can differentiate venom toxins from other proteins having non-toxic physiological functions
Ranko Gacesa, David J. Barlow, Paul F. Long
https://doi.org/10.7717/peerj-cs.90
August 8, 2016
Complexity curve: a graphical measure of data complexity and classifier performance
Julian Zubek, Dariusz M. Plewczynski
https://doi.org/10.7717/peerj-cs.76
January 13, 2016
A Socratic epistemology for verbal emotional intelligence
Abe Kazemzadeh, James Gibson, Panayiotis Georgiou, Sungbok Lee, Shrikanth Narayanan
https://doi.org/10.7717/peerj-cs.40
October 29, 2015
Getting the most out of RNA-seq data analysis
Tsung Fei Khang, Ching Yee Lau
https://doi.org/10.7717/peerj.1360 PubMed 26539333
June 18, 2015
Compact graphical representation of phylogenetic data and metadata with GraPhlAn
Francesco Asnicar, George Weingart, Timothy L. Tickle, Curtis Huttenhower, Nicola Segata
https://doi.org/10.7717/peerj.1029 PubMed 26157614