A Tutorial for Competent Memetic Algorithms: Model, Taxonomy, and Design Issues
Natalio Krasnogor, James E. Smith · IEEE Transactions on Evolutionary Computation · 2005
Cited by 715
Author · Newcastle University
Natalio Krasnogor
- Works
- 282
- Cited by
- 8,012
- h-index
- 47
Most-cited papers
Real-Coded Memetic Algorithms with Crossover Hill-Climbing
Manuel Lozano, Francisco Herrera, Natalio Krasnogor et al. · Evolutionary Computation · 2004
Cited by 324
ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasnogor · BMC Bioinformatics · 2009
Cited by 104Open access
Improving the scalability of rule-based evolutionary learning
Jaume Bacardit, Edmund Burke, Natalio Krasnogor · Memetic Computing · 2008
Cited by 97
Extending pathways and processes using molecular interaction networks to analyse cancer genome data
Enrico Glaab, Anaı̈s Baudot, Natalio Krasnogor et al. · BMC Bioinformatics · 2010
Cited by 51Open access
RERG (Ras-like, oestrogen-regulated, growth-inhibitor) expression in breast cancer: a marker of ER-positive luminal-like subtype
Hany Onsy Habashy, Desmond G. Powe, Enrico Glaab et al. · Breast Cancer Research and Treatment · 2010
Cited by 50Open access
Extracellular matrix component expression in human pluripotent stem cell-derived retinal organoids recapitulates retinogenesis in vivo and reveals an important role for IMPG1 and CD44 in the development of photoreceptors and interphotoreceptor matrix
Majed Felemban, Birthe Dorgau, Nicola C. Hunt et al. · Acta Biomaterialia · 2018
Cited by 48Open access
Evolving cell models for systems and synthetic biology
Hongqing Cao, Francisco J. Romero–Campero, Stephan Heeb et al. · Systems and Synthetic Biology · 2010
Cited by 45Open access
Engineering biology applications for environmental solutions: potential and challenges
David J. Lea‐Smith, Francis Hassard, Frédéric Coulon et al. · Nature Communications · 2025
Cited by 41Open access
A last-in first-out stack data structure implemented in DNA
Annunziata Lopiccolo, Ben Shirt‐Ediss, Emanuela Torelli et al. · Nature Communications · 2021
Cited by 17Open access
Functional networks inference from rule-based machine learning models
Nicola Lazzarini, Paweł Widera, Stuart C. Williamson et al. · BioData Mining · 2016
Cited by 8Open access
A Functional Programming Approach to a Computational Biology Problem
Natalio Krasnogor, Pablo E. Martínez López, Pablo Mocciola et al. · El Servicio de Difusión de la Creación Intelectual (National University of La Plata) · 1998
Cited by 0Open access
Incorporating knowledge of secondary structures in a L-system-based encoding for protein folding
Gabriela Ochoa, Natalio Krasnogor · 2006
Cited by 0
Additional file 5 of Functional networks inference from rule-based machine learning models
Nicola Lazzarini, Paweł Widera, Stuart C. Williamson et al. · Figshare · 2016
Cited by 0Open access
Additional file 3 of Functional networks inference from rule-based machine learning models
Nicola Lazzarini, Paweł Widera, Stuart C. Williamson et al. · Figshare · 2016
Cited by 0Open access