Michael L. Raymer

Amit P. Sheth, Krishnaprasad Thirunarayan, Michael L. Raymer, 2019, 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

CEG 320/520-01: Computer Organization

Michael L. Raymer, 2008 .

Engineering Mathematics Education at Wright State University: Uncorking the First Year Bottleneck

Kuldip S. Rattan, Michael L. Raymer, David B. Reynolds, 2007 .

Parsimony approach to test the Evolving Master Gene hypothesis for human Alu repeats

Michael L. Raymer, Dan E. Krane, Travis E. Doom, 2006, Sixth IEEE Symposium on BioInformatics and BioEngineering (BIBE'06).

Rethinking Engineering Mathematics Education: A Model for Increased Retention, Motivation, and Success in Engineering

Kuldip S. Rattan, Michael L. Raymer, David B. Reynolds, 2004 .

Sequence Alignments and Database Searches

Michael L. Raymer, Dan E. Krane, 2003 .

Dimensionality reduction using genetic algorithms

Anil K. Jain, Erik D. Goodman, William F. Punch, 2000, IEEE Trans. Evol. Comput..

Analyzing Algorithms & Asymptotic Notation

Michael L. Raymer, Dan E. Krane, 2003 .

An Interdisciplinary Undergraduate Bioinformatics Curriculum for Biological Scientists

Michael L. Raymer, Dan E. Krane, Travis E. Doom, 2003 .

On the relative efficacies of *cGA variants for intrinsic evolvable hardware; population, mutation, and random immigrants

John C. Gallagher, Michael L. Raymer, Gregory R. Kramer, 2004, Proceedings. 2004 NASA/DoD Conference on Evolvable Hardware, 2004..

A Web-Based Framework for the Distribution of Bioinformatics Techniques: Orthogonal Projection on Latent Structures and Principal Component Analysis Implemented as RESTful Web Services

Michael L. Raymer, Travis E. Doom, Paul E. Anderson, 2009 .

CS/BIO 271: Introduction to Bioinformatics

Michael L. Raymer, Dan E. Krane, 2006 .

CEG 320/520: Computer Organization

Michael L. Raymer, 2007 .

A National Model for Engineering Mathematics Education

Kuldip S. Rattan, Michael L. Raymer, Anant R. Kukreti, 2007 .

CS 400/600-01: Data Structures and Software Design

Michael L. Raymer, 2004 .

Profile combinatorics for fragment selection in comparative protein structure modeling

Michael L. Raymer, Travis E. Doom, Deacon J. Sweeney, 2001, Proceedings 2nd Annual IEEE International Symposium on Bioinformatics and Bioengineering (BIBE 2001).

Redefining Engineering Mathematics Education At Wright State University

Kuldip S. Rattan, Michael L. Raymer, David B. Reynolds, 2006 .

The Wright State Model for Engineering Mathematics Education: A Nationwide Adoption, Assessment and Evaluation

Kuldip S. Rattan, Michael L. Raymer, David B. Reynolds, 2009 .

A Novel Approach for Classifying Gene Expression Data using Topic Modeling

Amit P. Sheth, Michael L. Raymer, Soon Jye Kho, 2017, BCB.

Improving Remote Homology Detection Using Sequence Properties and Position Specific Scoring Matrices

Michael L. Raymer, Gina Cooper, 2009, BIOCOMP.

A Multi-Objective Genetic Algorithm that Employs a Hybrid Approach for Isolating Codon Usage Bias Indicative of Translational Efficiency

Michael L. Raymer, Dan E. Krane, Travis E. Doom, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Evaluating Forensic DNA Evidence: Breaking Open the Black Box (How to Review Electronic Data)

Michael L. Raymer, Dan E. Krane, Travis E. Doom, 2003 .

Balanced accuracy for feature subset selection with genetic algorithms

Gary B. Lamont, Michael L. Raymer, Michael R. Peterson, 2005, 2005 IEEE Congress on Evolutionary Computation.

Searching Sequence Databases

Michael L. Raymer, Dan E. Krane, 2003 .

PocketMol: a molecular visualization tool for the Pocket PC

Michael L. Raymer, Jason R. Gilder, Travis E. Doom, 2001, Proceedings 2nd Annual IEEE International Symposium on Bioinformatics and Bioengineering (BIBE 2001).

Indexing genomic databases

Michael L. Raymer, Dan E. Krane, Travis E. Doom, 2004, Proceedings. Fourth IEEE Symposium on Bioinformatics and Bioengineering.

Fragment Assembly of DNA

Michael L. Raymer, Dan E. Krane, 2003 .

Identifying the Patterns in DNA

Michael L. Raymer, Dan E. Krane, Jason R. Gilder, 2003, MAICS.

Engineering Mathematics Education at Wright State University: A Model for Increasing Student Success in Engineering

Kuldip S. Rattan, Michael L. Raymer, David B. Reynolds, 2007 .

CS 480/680: Comparative Programming Languages

Michael L. Raymer, 2005 .

AC 2009-1416: THE WRIGHT STATE MODEL FOR ENGINEERING MATHEMATICS EDUCATION: A NATIONWIDE ADOPTION, ASSESSMENT AND EVALUATION

Kuldip S. Rattan, Michael L. Raymer, Nathan W. Klingbeil, 2009 .

Book Review: Evolutionary Computation in Bioinformatics

Michael L. Raymer, 2005, Genetic Programming and Evolvable Machines.

Exploring EO vehicle recognition performance using manifolds as a function of lighting condition variability

John C. Gallagher, Michael L. Raymer, Edmund G. Zelnio, 2015, Defense + Security Symposium.

CS 499/699-01: Computer Programming for Scientific

Michael L. Raymer, 2011 .

Cloud Based Scientific Workflow for NMR Data Analysis

Amit P. Sheth, Michael L. Raymer, Paul E. Anderson, 2010, ISMB 2010.

Bioinformatics: Where Biology meets Computer Science

Michael L. Raymer, Dan E. Krane, Travis E. Doom, 2004 .

Dynamic adaptive binning: an improved quantification technique for NMR spectroscopic data

Michael L. Raymer, Travis E. Doom, Paul E. Anderson, 2011, Metabolomics.

How Proteins Fold, Flex, and Bind Other Molecules

Michael L. Raymer, Paul C. Sanschagrin, Leslie A. Kuhn, 1999 .

The WSU Model for Engineering Mathematics Education

Kuldip S. Rattan, Michael L. Raymer, David B. Reynolds, 2005 .

A Data Mining Approach to Predicting Phylum for Microbial Organisms Using Genome-Wide Sequence Data

Michael L. Raymer, Margaret H. Dunham, Douglas W. Raiford, 2009, 2009 Ninth IEEE International Conference on Bioinformatics and BioEngineering.

Knowledge discovery in biological data sets using a hybrid Bayes classifier/evolutionary algorithm

William F. Punch, Michael L. Raymer, Leslie A. Kuhn, 2001, Proceedings 2nd Annual IEEE International Symposium on Bioinformatics and Bioengineering (BIBE 2001).

CEG 3310-01: Computer Organization

Michael L. Raymer, M. Raymer, 2012 .

Characterization of 1H NMR spectroscopic data and the generation of synthetic validation sets

Michael L. Raymer, Travis E. Doom, Paul E. Anderson, 2009, Bioinform..

AC 2007-1116: A NATIONAL MODEL FOR ENGINEERING MATHEMATICS EDUCATION

Kuldip S. Rattan, Michael L. Raymer, Nathan W. Klingbeil, 2007 .

Physical Mapping of DNA

Michael L. Raymer, Dan E. Krane, M. Raymer, 2003 .

Exploring the CAESAR database using dimensionality reduction techniques

Michael L. Raymer, Olga Mendoza-Schrock, M. Raymer, 2012, Defense + Commercial Sensing.

Isolation and Visualization of Codon Usage Biases

Michael L. Raymer, Dan E. Krane, Travis E. Doom, 2006, Sixth IEEE Symposium on BioInformatics and BioEngineering (BIBE'06).

A framework for explainable deep neural models using external knowledge graphs

Pascal Hitzler, Michael L. Raymer, Christopher Menart, 2020 .

Inferring the Number of Contributors to Mixed DNA Profiles

Michael L. Raymer, Dan E. Krane, Travis E. Doom, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Semantically Annotated RESTful Services for Large-scale Metabolomics Data Analysis

Amit P. Sheth, Michael L. Raymer, Paul E. Anderson, 2010 .

Automated Isolation of Translational Efficiency Bias That Resists the Confounding Effect of GC(AT)-Content

Michael L. Raymer, Dan E. Krane, Travis E. Doom, 2010, IEEE ACM Trans. Comput. Biol. Bioinform..

Genetic programming for improved data mining: application to the biochemistry of protein interactions

Erik D. Goodman, William F. Punch, Michael L. Raymer, 1996 .

Elucidating the Determinants of Conserved Protein Surface Solvation Using a Genetic Algorithm and Nearest Neighbor Classifier

Erik D. Goodman, William F. Punch, Michael L. Raymer, 1998 .

Stochastic model of protease-ligand reactions

Michael L. Raymer, Travis E. Doom, Paul E. Anderson, 2005, Fifth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'05).

Knowledge discovery in medical and biological datasets using a hybrid Bayes classifier/evolutionary algorithm

William F. Punch, Michael L. Raymer, Leslie A. Kuhn, 2003, IEEE Trans. Syst. Man Cybern. Part B.

GA-facilitated KNN classifier optimization with varying similarity measures

Michael L. Raymer, Michael R. Peterson, Travis E. Doom, 2005, 2005 IEEE Congress on Evolutionary Computation.

GA-facilitated KNN classifier optimization with varying similarity measures

Michael L. Raymer, Michael R. Peterson, Travis E. Doom, 2005, 2005 IEEE Congress on Evolutionary Computation.

CS/BIO 471/671: Algorithms for Bioinformatics

Michael L. Raymer, 2004 .

Latent Dirichlet Allocation for Classification using Gene Expression Data

Michael L. Raymer, Soon Jye Kho, Hima Bindu Yalamanchili, 2017, 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE).

CS 4810: Algorithms for Bioinformatics

Michael L. Raymer, 2012 .

A framework for uncertainty-aware visual analytics of proteins

Hans Hagen, Thomas Wischgoll, Michael L. Raymer, 2021, Comput. Graph..

A community effort to identify and correct mislabeled samples in proteogenomic studies

Michael L. Raymer, Patrik Edén, Henry Rodriguez, 2021, Patterns.

Gaussian binning: a new kernel-based method for processing NMR spectroscopic data for metabolomics

Michael L. Raymer, Travis E. Doom, Paul E. Anderson, 2008, Metabolomics.

The Wsu Model For Engineering Mathematics Education: A Multiyear Assessment And Expansion To Collaborating Institutions

Kuldip S. Rattan, Michael L. Raymer, Anant R. Kukreti, 2008 .

Evaluating Forensic DNA Evidence: Essential Elements of a Competent Defense Review

Michael L. Raymer, Dan E. Krane, William C. Thompson, 2003 .

Do Amino Acid Biosynthetic Costs Constrain Protein Evolution in Saccharomyces cerevisiae?

Michael L. Raymer, Dan E. Krane, Douglas W. Raiford, 2008, Journal of Molecular Evolution.

Automated Isolation of Translational Efficiency Bias That Resists the Confounding Effect of GC(AT)-Content

Michael L. Raymer, Dan E. Krane, Travis E. Doom, 2010, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A generalized model for metabolomic analyses: application to dose and time dependent toxicity

Michael L. Raymer, Paul E. Anderson, Deirdre A. Mahle, 2011, Metabolomics.