Dr. Marjan Trutschl

Professor
Department of Computer Science, LSU Shreveport

Contact Information:
Email: mtrutsch@lsus.edu 
Office Phone: 318- 797-5131

Laboratory Phone: 318-795-4274 
Office Fax: 318-795-2419

Education/Training:

Sc.D., Computer Science, 2002, University of Massachusetts Lowell

M.S., Computer Science, 1997, University of Massachusetts Lowell

B.S., Computer Sciencee, 1994, Louisiana State University Shreveport

Major Research Interests:  

Biomedical informatics, scientific and information visualization, cluster and distributed computing, neural networks, data mining

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 through cluster computing-enabled integration.

Representative Publications:

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, Physiol. Genomics, 21:264-273, 2005. 

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. 

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. 

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).


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, 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.

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.

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.

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.

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.

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.

Plasma microparticle species in relapsing-remitting and secondary progressive multiple sclerosis. A case-control, cross sectional study with conventional MRI and advanced iron content imaging outcomes. J.S. Alexander, R. Chervenak, B. Weinstock-Guutman, I. Tsunoda, M. Ramanathan, N. Martinez, S. Omura, F. Sato, G.V. Chaitanya, A. Minagar, M.H. Jennings, C. Monceaux, F. Becker, U. Cvek, M. Trutschl, R. Zivadinov. Journal of Neuroinflammation (submitted).

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 (in press).