G. Fogel

G. Fogel, M. Salemi, M. McGrath, 2017, Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases.

CONTINUOUS EVOLUTIONARY PROGRAMMING: ANALYSIS AND EXPERIMENTS

David B. Fogel, Gary B. Fogel, D. Fogel, 1995 .

Features associated with survival in metastatic melanoma patients treated with patient-specific dendritic cell vaccines.

G. Fogel, S. Selvan, R. Dillman, 2011, Cancer biotherapy & radiopharmaceuticals.

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..

Horizontal transfer and evolution of wall teichoic acid gene cassettes in Bacillus subtilis

G. Sutton, G. Fogel, T. Michael, 2021, F1000Research.

Computational Intelligence Methods for Docking Scores

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

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).

HIV-1 Nef in Macrophage-Mediated Disease Pathogenesis

G. Fogel, M. Salemi, M. McGrath, 2012, International reviews of immunology.

HIV-1 Evolutionary Patterns Associated with Metastatic Kaposi's Sarcoma during AIDS

G. Fogel, M. Salemi, M. McGrath, 2016, Sarcoma.

Identification of conserved regulatory RNA structures in prokaryotic metabolic pathway genes.

Rangarajan Sampath, Dana Weekes, Gary B Fogel, 2005, Bio Systems.

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

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

Evolutionary computation for discovery of composite transcription factor binding sites

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

From pluripotency to islets: miRNAs as critical regulators of human cellular differentiation.

G. Fogel, A. Hinton, C. King, 2012, Advances in genetics.

Identification of Coding Regions in DNA Sequences Using Evolved Neural Networks

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

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).

The Art of Armadillo Lizards (Cordylus cataphractus): Fifteen Years of Captive Observations

G. Fogel, 2003 .

Observations on the Giant Sungazer Lizard, Cordylus giganteus, in Captivity

G. Fogel, 2000 .

Identification of dual-tropic HIV-1 using evolved neural networks

Gary B. Fogel, Susanna L. Lamers, Enoch S. Liu, 2015, Biosyst..

Di-codon usage for classification of genes

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

Di-codon Usage for Gene Classification

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

A pan-genome method to determine core regions of the Bacillus subtilis and Escherichia coli genomes.

G. Sutton, G. Fogel, T. Michael, 2021, F1000Research.

Tracking the Emergence of Host-Specific Simian Immunodeficiency Virus env and nef Populations Reveals nef Early Adaptation and Convergent Evolution in Brain of Naturally Progressing Rhesus Macaques

G. Fogel, M. Salemi, M. McGrath, 2015, Journal of Virology.

Computational intelligence approaches for pattern discovery in biological systems

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

Modeling the evolution of drug resistance in Plasmodium falciparum DHFR

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

Modeling the evolution of drug resistance in malaria

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

HIV DNA Is Frequently Present within Pathologic Tissues Evaluated at Autopsy from Combined Antiretroviral Therapy-Treated Patients with Undetectable Viral Loads

G. Fogel, M. Salemi, M. McGrath, 2016, Journal of Virology.

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).

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.

Evolutionary Computation In Bioinformatics

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

Prokaryotic Genome Size and SSU rDNA Copy Number: Estimation of Microbial Relative Abundance from a Mixed Population

G. B. Fogel, J. Li, G. Fogel, 1999, Microbial Ecology.

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 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..

Prediction of Transcription Factor Families Using DNA Sequence Features

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

Structural-based analysis of dihydrofolate reductase evolution.

David Hecht, Gary B Fogel, G. Fogel, 2011, Molecular phylogenetics and evolution.

G. Fogel, M. McGrath, E. Singer, 2014, Journal of NeuroVirology.

Ecological Applications of Evolutionary Computation

G. B. Fogel, P. A. Whigham, G. Fogel, 2006 .

On the instability of evolutionary stable strategies in small populations

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

HIV-1 nef protein visits B-cells via macrophage nanotubes: a mechanism for AIDS-related lymphoma pathogenesis?

G. Fogel, M. McGrath, S. Lamers, 2010, Current HIV research.

MicroRNA dynamics during human embryonic stem cell differentiation to pancreatic endoderm.

Ana D. Lopez, S. Ficici, G. Fogel, 2015, Gene.

The HIV nef protein within ARL is genetically and structurally distinct from those in the brain of patients with HAD

G. Fogel, M. McGrath, A. Poon, 2010, Infectious Agents and Cancer.

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

G. Fogel, M. Salemi, M. McGrath, 2008, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

An approach for classification of highly imbalanced data using weighting and undersampling

P. N. Suganthan, Gary B. Fogel, Ashish Anand, 2010, Amino Acids.

A survey of recent work on evolutionary approaches to the protein folding problem

Garrison W. Greenwood, Jae-Min Shin, G. B. Fogel, 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

A Novel In Silico Approach to Drug Discovery via Computational Intelligence

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

Lynn Margulis (1938-2011)

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

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..

Evolutionary programming

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

An Introduction to Evolutionary Computation for Biologists

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

Temperature gradient chamber for relative growth rate analysis of yeast.

G. Fogel, C. Brunk, 1998, Analytical biochemistry.

Ring optimization with extinction

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

Evolutionary computation with extinction: experiments and analysis

Garrison W. Greenwood, K. Chellapilla, G. B. Fogel, 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

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).

Noisy optimization problems - a particular challenge for differential evolution?

Gary B. Fogel, Bogdan Filipic, Thiemo Krink, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

High-Throughput Ligand Screening via Preclustering and Evolved Neural Networks

D. Hecht, G. Fogel, G.B. Fogel, 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Evolved Neural Networks for High Throughput Anti-HIV Ligand Screening

Gary B. Fogel, David Hecht, Connie Y. C. Ma, 2006, 2006 IEEE International Conference on Evolutionary Computation.

sRNA‐seq Analysis of Human Embryonic Stem Cells and Definitive Endoderm Reveals Differentially Expressed MicroRNAs and Novel IsomiRs with Distinct Targets

Andrew Hinton, Ana D. Lopez, Charles C King, 2014, Stem cells.

Emerging Patterns in HIV-1 gp120 Variable Domains in Anatomical Tissues in the Absence of a Plasma Viral Load.

G. Fogel, M. McGrath, E. Singer, 2019, AIDS research and human retroviruses.

In silico screening against wild-type and mutant Plasmodium falciparum dihydrofolate reductase.

David Hecht, Mars Cheung, Gary B Fogel, 2008, Journal of molecular graphics & modelling.

G. Fogel, M. McGrath, E. Singer, 2015, Journal of NeuroVirology.

Evolutionary Algorithms for Cancer Chemotherapy Optimization

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

ProteinLigand Docking with Evolutionary Algorithms

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

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..

Expression of Tetrahymena histone H4 in yeast.

G. Fogel, C. Brunk, 1997, Biochimica et biophysica acta.

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).

Extensive HIV-1 Intra-Host Recombination Is Common in Tissues with Abnormal Histopathology

G. Fogel, E. Masliah, M. Salemi, 2009, PloS one.

VP-Conference Activities Vision Statement [Society Briefs]

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

Evolutionary algorithms for supertree search

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

Comparing antimicrobial resistant genes and phenotypes across multiple sequencing platforms and assays for Enterobacterales clinical isolates

G. Fogel, R. Rose, J. Garcia-Diaz, 2023, BMC Microbiology.

Featured Posters Page 1 Geographical Impact on Metagenomes By Daniel Pick

G. Fogel, Bob Kain, 2011 .

miRNA Regulation of Human Embryonic Stem Cell Differentiation

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

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..

Deciphering mechanisms of gene regulation through evolutionary computation

G. Fogel, 2006, IEEE Computational Intelligence Magazine.

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..

The Application of Evolutionary Computation to Selected Problems in Molecular Biology

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

Computational Intelligence in Bioinformatics

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

Simulated sequencing by hybridization using evolutionary programming

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

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.

Classification of mouse fRNA genes using evolved neural networks

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

Identification of Functional RNA Genes Using Evolved Neural Networks

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