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Dr. Marjan Trutschl

Name: Dr. Marjan Trutschl

Title: Professor

Credentials: Sc.D., University of Massachusetts

Department: Computer Science Department

Office Location: Technology Center 216

Office Phone: 318-797-5131

Alternate Phone: 318-795-4274

Office Fax: 318-795-2419

Email: marjan.trutschl@lsus.edu

Office Hours:

On leave during the Spring 2018 semester.

Teaching Assignments:

Spring 2018
n/a

Research Interests:

  • Biomedical informatics
  • Data mining
  • High-performance computing
  • Information visualization
  • Neural networks
  • Software engineering
  • User interfaces

Physical and natural sciences, instruments, biomedical and other scientific research generate large amounts of high-dimensional data. This not only creates the need for the analysis of the data and interpretation of results, but also the need for the development of tools and methods that can handle these data. Tools for the data analysis are used not only in the hypothesis generation or exploratory analysis stage (where we try to find patterns, outliers, and other meaningful domain-specific insights), but also when looking for answers for these hypotheses. Many techniques are graphical in nature, such as scatter plots and histograms, but many of them can only represent two variables at a time. We address these issues by creating novel neural network and visualization techniques utilizing high performance computing-enabled research environment.

Selected Publications:

Pharmacoproteomics Profile in Response to Acamprosate Treatment of an Alcoholism Animal Model. C.E. Germany, A.N. Reker, D.J. Hinton, A. Oliveros, X. Shen, L.G. Andres-Beck, K.M. Wininger, M. Trutschl, U. Cvek, D.-S. Choi, and H.W. Nam. Proteomics, 1700417. doi:10.1002/pmic.201700417.

Two Year Follow-up of Crohn's patients substituted to Certolizumab anti-TNFa therapy: SAVANT 2. A. Motlis, M. Boktor, P. Jordan, U. Cvek, M. Trutschl, J.S. Alexander. Pathophysiology; 2017 Aug 9. pii: S0928-4680(17)30051-2. doi: 10.1016/j.pathophys.2017.07.004

Substitution with AlternatiVe Anti-TNFa Therapy (SaVANT) - Outcomes of a Crohn's Disease Cohort Undergoing Substitution Therapy with Certolizumab. M. Boktor, A. Motlis, A. Aravantagi, A. Sheth, P. Jordan, J. Morris, K. Manas, U. Cvek, M. Trutschl, J.S. Alexander. Inflammatory Bowel Diseases (LWW Journal) 2016 Jun; 22(6):1353-61. doi: 10.1097/MIB.0000000000000765.

Gastric cancer in women: A regional health-center seven year retrospective study. K. Suryawala, D. Soliman, M. Mutyala, S. Nageeb, M. Boktor, A. Seth, A. Aravantagi, A. Sheth, J. Morris, P. Jordan, K. Manas, U. Cvek, M. Trutschl, F. Becker, and J.S. Alexander. World Journal of Gastroenterology: WJG. 2015; 21(25): 7805-7813, doi:10.3748/wjg.v21.i25.7805.

Blood circulating microparticle species in relapsing-remitting and secondary progressive multiple sclerosis. J.S. Alexander, R. Chervenak, B. Weinstock-Guttman, I. Tsunoda, M. Ramanathan, N. Martinez, S. Omura, F. Sato, G.V. Chaitanya, A. Minagar, J. McGee, M.H. Jennings, C. Monceaux, F. Becker, U. Cvek, M. Trutschl, R. Zivadinov. A case-control, cross sectional study with conventional MRI and advanced iron content imaging outcomes. J. Neurological Sciences (2015), 355(1): 84-89.

Both MC1 and MC3 Receptors Provide Protection From Cerebral Ischemia-Reperfusion-Induced Neutrophil Recruitment. P.M. Holloway, P.F. Durrenberger, M. Trutschl, U. Cvek, D. Cooper, A.W. Orr, M. Perretti, S.J. Getting, F. N.E. Gavins. Arteriosclerosis Thrombosis and Vascular Biolology, June 25, 2015, doi:10.1161/ATVBAHA.115.305348.

MotifMutator: A Combinatoric Tool for Modeling Binding-Site Preferences, P.C.S.R. Kilgore, U. Cvek, M. Trutschl, B. Praslicka, C. Gissendanner. 7th Int. Conf. on Bioinformatics and Computational Biology (BICoB), March 2015.

Detection and Employment of Biological Sequence Motifs. M. Trutschl, P.C.S.R., Kilgore, R. Scott, C.E. Birdwell, U. Cvek. Big Data Analytics in Bioinformatics and Healthcare. B. Wang, R. Li, and W. Perrizo (Editors). IGI Global, 2015.

Bioinformatics Multivariate Analysis Determined a Set of Phase-Specific Biomarker Candidates in a Novel Mouse Model for Viral Myocarditis. S. Omura, E. Kawai, F. Sato, N.E. Martinez, G.V. Chaitanya, P.A. Rollyson, U.Cvek, M. Trutschl, J.S. Alexander, I. Tsunoda. Circulation: Cardiovascular Genetics (2014) 7: 444-454.

Genome-wide DNA methylation as an epigenetic consequence of Epstein-Barr virus infection of immortalized keratinocytes. C.E. Birdwell, K.J. Queen, P. Kilgore, P. Rollyson, M. Trutschl, U. Cvek, R.S. Scott. Journal of virology (2014): JVI-00972.

Multidimensional Visualization of Microarray Data (Chapter). U. Cvek, M. Trutschl. Microarray Image and Data Analysis: Theory and Practice, Cat/ISBN: K20311/9781466586826, Edited by L. Rueda, CRC Press, March 2014.Scalable Genome-Wide Discovery and Presentation of Motifs. M. Trutschl, P. Kilgore, U. Cvek, R. Scott. 6th Int. Conf. on Bioinformatics and Computational Biology (BICoB), March 2014.

Panoramic Interaction with Interval Data Based on the Slider Metaphor. P. Kilgore, M. Trutschl, U. Cvek. 7th Int. Conf. on Advances in Computer-Human Interaction, March 2014.

Self-organization in parallel coordinates. M. Trutschl, P.C.S.R. Kilgore, U. Cvek. 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 2013.

Parallel execution of self-organized visualization. P.C.S.R. Kilgore, M. Trutschl, U. Cvek. Proc. of Modeling, Identification and Control - Advances in Computer Science Conference, DOI: 10.2316/P.2013.801-009, 2013.

Exploration of Gene Expression Data Via Constrained Clustering, P. Kilgore, M. Trutschl, U. Cvek, R. Rhoads. 5th Int. Conf. on Bioinformatics and Computational Biology (BICoB), March 2013.

Application of Head Tracking for Interactive Data Visualization, P. Kilgore, C. McCarthy, U. Cvek, M. Trutschl, 7th Int. Multi-Conference on Computing in the Global Information Technology, 2012.

High-Performance Visualization of Multi-Dimensional Gene Expression Data, M. Trutschl, P.C.S.R. Kilgore, U. Cvek. Third International Conference on Networking and Computing, Okinawa, Japan, December 5-7, 2012.

Multidimensional Visualization Techniques for Microarray Data, U. Cvek, M. Trutschl, P. C. Kilgore, R. Stone II, J. L. Clifford, Symposium on Information visualization in Biomedical Informatics, 8th International Conference on Biomedical Visualization, IEEE Computer Society, London, Great Britain, 2011. First two authors equally contributed to this publication.

Identification, Tracking and Visualization of Platelets, M. Trutschl, U. Cvek, K. Stokes, P. Kilgore, J. Smith, J. Slack, J. Doss, R. Holloway, Symposium on Information visualization in Biomedical Informatics, 7th International Conference on Biomedical Visualization, IEEE Computer Society, London, Great Britain, 2010.

Neural-network enhanced visualization of high-dimensional data, U. Cvek, M. Trutschl, J.L. Clifford, Chapter in: Self-Organizing Maps. ISBM 978-953-7619, 2009.

Identification of genes involved in early stage bladder cancer progression, R. Stone, A.L. Sabichi, J. Gill, I-L Lee, R. Loganantharaj, M. Trutschl, U. Cvek, J.L. Clifford. Cancer Prevention Research, 2009.

The Storage, Retrieval, and Visualization of Biological Pathway Data, E.P. Boswell, J.T. Wessler, U. Cvek, M. Trutschl, Symposium on Information visualization in Biomedical Informatics, 6th International Conference on Biomedical Visualization, Barcelona, Spain, 2009.

Multidimensional Visualization Tools for Analysis of Expression Data. U. Cvek, M. Trutschl, R. Stone II, Z. Syed, J.L. Clifford, A.L. Sabichi, International Conference on Bioinformatics and Computational Biology, World Academy of Science, Engineering and Technology, Paris, France, 2009.

Neural-network enhanced visualization of high-dimensional data, U. Cvek, M. Trutschl, J. Clifford. Tools in Artificial Intelligence. ISBM: 978-953-7619, 2009.

Identification of the B-Raf/Mek/Erk MAP kinase pathway as a target for all-trans retinoic acid during skin cancer promotion, S.B. Cheepala, W. Yin, Z. Syed, J.N. Gill, A. McMillian, H.E. Kleiner, M. Lynch, R. Loganantharaj, M. Trutschl, U. Cvek, J.L. Clifford. Molecular Cancer, 8:27, May 11, 2009.

Global Transcriptional Profiling Reveals Streptococcus Agalactiae Genes Controlled by the MtaR transcription factor. J.D. Bryan, R. Liles, U. Cvek, M. Trutschl, D. Shelver. BMC Genomics 2008, 9:607 (16 December 2008).

From Microarrays to Promoters: the Visual Story of Stat3. U. Cvek, M. Trutschl, Z. Syed, J. Clifford. Symposium on Information visualization in Biomedical Informatics, 5th International Conference on Biomedical Visualization, London, 2008. First two authors equally contributed to this publication.

2D and 3D Neural-Network Based Visualization of High-Dimensional Biomedical Data, U. Cvek, M. Trutschl, J.C. Cannon, R.S. Scott, R.E. Rhoads, Symposium on Information Visualization in Biomedical Informatics, 11th International Conference on Information Visualization, Zurich, Switzerland, 2007. First two authors equally contributed to this publication.

Retinoids and skin: microarrays shed new light on chemopreventive action of all-trans retinoic acid. S. B. Cheepala, Z. Syed, M. Trutschl, U. Cvek, J. L. Clifford. Molecular Carcinogenesis, 2007.

Translation initiation factor eIF4G-1 binds to eIF3 through the eIF3e subunit, A.K. LeFebvre, N.L. Korneeva, M. Trutschl, U. Cvek, Roy D. Duzan, C.A. Bradley, J.W. B. Hershey, R.E. Rhoads, J. Biol. Chem. Vol.281, No.32, pp.22917-22932, 2006.

Application of Machine Learning and Visualization of Heterogeneous Datasets to Uncover Relationships between Translation and Developmental Stage Expression of C. elegans mRNAs, M. Trutschl, T. Dinkova, R. Rhoads, Physiological Genomics, 21: 264-273, February 8, 2005.

Interpolating Analytic Visualizations, M. Trutschl, G. Grinstein, U. Cvek, Proceedings of the SPIE 2004 Conference on Visualization and Data Analysis, San Jose, California, 2004.

Intelligently Resolving Point Occlusion, M. Trutschl, G. Grinstein, U. Cvek, Proceedings of the IEEE Symposium on Information Visualization, Seattle, Washington, 2003.

Personal Bio:

Dr. Marjan Trutschl is a Professor of Computer Science and Abe Sadoff Distinguished Chair in Bioinformatics, a co-Director of the Laboratory for Advanced Biomedical Informatics at LSU Shreveport (LSUS), and a Director of the Biomedical Informatics Core at the Center for Molecular and Tumor Virology at the Louisiana State University Health Sciences Center in Shreveport (LSUHSC-S). Dr. Trutschl received a Sc.D. and M.S. in Computer Science from the University of Massachusetts Lowell (UML).

Prior to joining LSUS, Dr. Trutschl co-founded Anvil, Inc. and worked as a research assistant at the Institute for Visualization and Perception Research at UML. In 2002, he co-founded Laboratory for Advanced Biomedical Informatics at LSUS and was named its co-Director in 2007. In 2003, he became Adjunct Assistant Professor of Bioinformatics and Computational Biology at LSUHSC and was named Director of the Biomedical Informatics Core at the Center for Molecular and Tumor Virology at LSUHSC-S in 2008.

Dr. Trutschl has two decades of software development and research experience. He has or still is participating in research funded by the Genetics Institute (now Wyeth), Millennium Pharmaceuticals, Pfizer, Spacetec IMC (now Logitech), Department of Defense, National Institutes of Health, and by the U.S. Air Force, LaSPACE/NASA, just to name a few. His research activities focus on information visualization, biomedical informatics, neural networks, data mining, knowledge discovery, as well as cluster and distributed computing.

Dr. Trutschl has published and presented research in the areas of information visualization and bioinformatics and has funded grants in biomedical research and the integration of technology into the educational curriculum. He actively participates in organization of international conferences and symposia and serves as a reviewer to numerous international conferences and journals with international circulation.

 
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