Gary B. Fogel

Ponnuthurai N. Suganthan, Gary B. Fogel, Ashish Anand, 2006, 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

High-throughput toxicological classification of candidate drug compounds using gene expression, evolved neural networks, and a cell-based platform

Gary B. Fogel, Gordon Vansant, Pat Pezzoli, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Modeling the evolution of drug resistance in Plasmodium falciparum DHFR

Gary B. Fogel, David Hecht, Carla Islas, 2013, 2013 IEEE Congress on Evolutionary Computation.

Di-codon usage for classification of genes

Jagath C. Rajapakse, Gary B. Fogel, Minh Ngoc Nguyen, 2009, Biosyst..

A Report on the IEEE Life Sciences Grand Challenges Conference [Conference Report]

Gary B. Fogel, 2013, IEEE Comput. Intell. Mag..

[Conference Calendar]

Gary B. Fogel, 2011, IEEE Comput. Intell. Mag..

An Introduction to Evolutionary Computation for Biologists

David Corne, Gary B. Fogel, D. Corne, 2003 .

The Role of Ago2 in microRNA Biogenesis: An Investigation of miR-21

Gary B. Fogel, Ana D. Lopez, Zoya Kai, 2015, IPCAT.

Editorial for special issue on “Soft Computing for Bioinformatics and Medical Informatics”

David W. Corne, Lipo Wang, Jagath C. Rajapakse, 2006, Soft Computing - A Fusion of Foundations, Methodologies and Applications.

HIV-miR-H1 evolvability during HIV pathogenesis

Gary B. Fogel, Susanna L. Lamers, Michael S. McGrath, 2010, Biosyst..

A Clustal alignment improver using evolutionary algorithms

Gary B. Fogel, T. Krink, R. Thomsen, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

VP-Conference Activities Vision Statement

Gary B. Fogel, 2010 .

[Conference Calendar]

Gary B. Fogel, 2013, IEEE Comput. Intell. Mag..

FuzzyGranular Methods for Identifying Marker Genes from Microarray Expression Data

Yi Pan, David W. Corne, Gary B. Fogel, 2007 .

[Conference Calendar]

Gary B. Fogel, 2010, IEEE Comput. Intell. Mag..

Classification of mouse fRNA genes using evolved neural networks

Gary B. Fogel, Mars Cheung, 2008, 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

[Conference Calendar]

Gary B. Fogel, 2013, IEEE Comput. Intell. Mag..

Prediction of R5, X4, and R5X4 HIV-1 Coreceptor Usage with Evolved Neural Networks

Gary B. Fogel, Susanna L. Lamers, Marco Salemi, 2008, IEEE ACM Trans. Comput. Biol. Bioinform..

Guest Editors' Introduction to the Special Section: Computational Intelligence Approaches in Computational Biology and Bioinformatics

Jagath C. Rajapakse, Gary B. Fogel, Yan-Qing Zhang, 2007, TCBB.

Improvement of clustal-derived sequence alignments with evolutionary algorithms

Gary B. Fogel, René Thomsen, Thiemo Krink, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Evolutionary programming

David B. Fogel, Lawrence J. Fogel, Gary B. Fogel, 2011, Scholarpedia.

QSAR using evolved neural networks for the inhibition of mutant PfDHFR by pyrimethamine derivatives

Gary B. Fogel, David Hecht, Mars Cheung, 2008, Biosyst..

IEEE CIS VP-Conferences Activities Vision Statement [Society Briefs]

Gary B. Fogel, 2019, IEEE Comput. Intell. Mag..

Emphasizing extinction in evolutionary programming

Gary B. Fogel, M. Ciobanu, G. W. Greewood, 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

Derivation of quantitative structure-toxicity relationships for ecotoxicological effects of organic chemicals: evolving neural networks and evolving rules

Gary B. Fogel, Mars Cheung, 2005, 2005 IEEE Congress on Evolutionary Computation.

Di-codon Usage for Gene Classification

Jagath C. Rajapakse, Gary B. Fogel, Jianmin Ma, 2009, PRIB.

A Novel In Silico Approach to Drug Discovery via Computational Intelligence

Gary B. Fogel, David Hecht, G. Fogel, 2009, J. Chem. Inf. Model..

Machine learning approaches for customized docking scores: Modeling of inhibition of Mycobacterium tuberculosis enoyl acyl carrier protein reductase

Gary B. Fogel, Jonathan Tran, David Hecht, 2010, 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

Identification and analysis of transcription factor family-specific features derived from DNA and protein information

Ponnuthurai N. Suganthan, Gary B. Fogel, Ashish Anand, 2010, Pattern Recognit. Lett..

An Introduction to Bioinformatics for Computer Scientists

David Corne, Gary B. Fogel, 2003 .

Evolutionary programming

Gary B. Fogel, D. Fogel, G. Fogel, 2018, Scholarpedia.

Using Neural Networks to Identify Features Associated with HIV Nef Protein and Cancer

Gary B. Fogel, Enoch S. Liu, Michael S. McGrath, 2020, 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Identification of Functional RNA Genes Using Evolved Neural Networks

Gary B. Fogel, Mars Cheung, 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

A History of the IEEE Computational Intelligence Society

Gary B. Fogel, 2009, 2009 IEEE Conference on the History of Technical Societies.

2015 Information Processing in Cells and Tissues (IPCAT 2015)

Andrew M. Tyrrell, Stephen L. Smith, Michael A. Lones, 2016, Biosyst..

Determination of the Relative Importance of Gene Function or Taxonomic Grouping to Codon Usage Bias Using Cluster Analysis and SVMs

Jagath C. Rajapakse, Gary B. Fogel, Jianmin Ma, 2006, 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

The Application of Evolutionary Computation to Selected Problems in Molecular Biology

Gary B. Fogel, G. Fogel, 1997, Evolutionary Programming.

Information Processing in Cells and Tissues

Stephen L. Smith, Michael A. Lones, Gary B. Fogel, 2007, Lecture Notes in Computer Science.

Multiple sequence alignment using evolutionary programming

Kumar Chellapilla, Gary B. Fogel, 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

On the relationship between GC content and the number of predicted microRNA binding sites by MicroInspector

Gary B. Fogel, David Hecht, Nicole Davis, 2008, Comput. Biol. Chem..

[Conference Calendar]

Gary B. Fogel, G. Fogel, 2020, IEEE Comput. Intell. Mag..

Evolved neural networks for HIV-1 co-receptor identification

Gary B. Fogel, Susanna L. Lamers, Enoch S. Liu, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Computational intelligence approaches for pattern discovery in biological systems

Gary B. Fogel, G. Fogel, 2008, Briefings Bioinform..

Towards predictive structure-based models of evolved drug resistance

Gary B. Fogel, David Hecht, G. Fogel, 2012, 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

HIV-associated neuropathogenesis: A systems biology perspective for modeling and therapy

Gary B. Fogel, Susanna L. Lamers, Marco Salemi, 2014, Biosyst..

On the instability of evolutionary stable strategies in small populations

David B. Fogel, Gary B. Fogel, Peter C. Andrews, 1998 .

Prediction of Transcription Factor Families Using DNA Sequence Features

Ponnuthurai N. Suganthan, Gary B. Fogel, Ashish Anand, 2008, PRIB.

Reconstruction of DNA Sequence Information from a Simulated DNA Chip Using Evolutionary Programming

David B. Fogel, Kumar Chellapilla, Gary B. Fogel, 1998, Evolutionary Programming.

Quantitative structure-property relationships for drug solubility prediction using evolved neural networks

Gary B. Fogel, David Hecht, Stephen Johnson, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Modeling the inhibition of quadruple mutant Plasmodium falciparum dihydrofolate reductase by pyrimethamine derivatives

Gary B. Fogel, David Hecht, Mars Cheung, 2008, J. Comput. Aided Mol. Des..

Guest Editors' Introduction to the Special Section: Computational Intelligence Approaches in Computational Biology and Bioinformatics

Yanqing Zhang, Jagath C. Rajapakse, Gary B. Fogel, 2007, IEEE ACM Trans. Comput. Biol. Bioinform..

Evolutionary algorithms for supertree search

Gary B. Fogel, Sevan G. Ficici, Enoch S. Liu, 2012, 2012 IEEE Congress on Evolutionary Computation.

miRNA Regulation of Human Embryonic Stem Cell Differentiation

Gary B. Fogel, Ana D. Lopez, Charles C. King, 2015, IPCAT.

Corrections to “Guest Editorial: Special Issue on Human–Machine Symbiosis”

Hussein A. Abbass, Gary B. Fogel, Justin Fidock, 2018, IEEE Transactions on Emerging Topics in Computational Intelligence.

Evolving DNA classifiers with extinction based ring optimization

Daniel A. Ashlock, Gary B. Fogel, Sierra Gillis, 2015, 2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

ProteinLigand Docking with Evolutionary Algorithms

Yi Pan, David W. Corne, Gary B. Fogel, 2007 .

Hybrid of Neural Classifier and Swarm Intelligence in Multiclass Cancer Diagnosis with Gene Expression Signatures

Yi Pan, David W. Corne, Gary B. Fogel, 2007 .

Ring optimization with extinction

Daniel A. Ashlock, Gary B. Fogel, Sierra Gillis, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Dynamical and topological robustness of the mammalian cell cycle network: A reverse engineering approach

Eric Goles Ch., Gary B. Fogel, Marco Montalva-Medel, 2014, Biosyst..

Computational Intelligence Methods for Docking Scores

Gary B. Fogel, David Hecht, G. Fogel, 2009 .

Lynn Margulis (1938-2011)

Gary B. Fogel, Alan W. Schwartz, G. Fogel, 2012, Biosyst..

Parameter optimization of an evolutionary algorithm for RNA structure discovery

Gary B. Fogel, David J. Ecker, Rangarajan Sampath, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Evolutionary Stable Strategies Are Not Always Stable under Evolutionary Dynamics

David B. Fogel, Gary B. Fogel, 1995, Evolutionary Programming.

[Conference Calendar]

Gary B. Fogel, 2019, IEEE Comput. Intell. Mag..

Modeling the evolution of drug resistance in malaria

Gary B. Fogel, David Hecht, G. Fogel, 2012, Journal of Computer-Aided Molecular Design.

Simulating natural selection as a culling mechanism on finite populations with the hawk-dove game

David B. Fogel, Gary B. Fogel, D. Fogel, 2011, Biosyst..

Using Evolved Neural Networks to Elucidate Nef Features Associated with HIV-1 Subtype Differentiation

Gary B. Fogel, Susanna L. Lamers, Enoch S. Liu, 2021, 2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Founding Editor-in-Chief

Uwe Aickelin, Zbigniew Michalewicz, Hussein A. Abbass, 2004 .

Evolutionary Computation for the Inference of Natural Evolutionary Histories

Gary B. Fogel, .

Identification of Coding Regions in DNA Sequences Using Evolved Neural Networks

David B. Fogel, Kumar Chellapilla, Gary B. Fogel, 2003 .

Fuzzy Approaches for the Analysis CpG Island Methylation Patterns

Gary B. Fogel, David Corne, D. Corne, 2007 .

Evolutionary Algorithms for Cancer Chemotherapy Optimization

Gary B. Fogel, David Corne, D. Corne, 2007 .

Evolutionary computation for discovery of composite transcription factor binding sites

Gary B. Fogel, V. W. Porto, Eric W. Su, 2008, Nucleic acids research.