Allison N. Tegge


  • Ph.D. Informatics 2008-2012, University of Missouri-Columbia; Columbia, Missouri
     Thesis: "Using Pathway Correlation Profiles for Understanding Biological Pathway Perturbation"
     Advisor: Dong Xu
  • M.S. Bioinformatics 2006-2008. University of Illinois Urbana-Champaign; Urbana, Illinois
     Thesis: "Prediction of Neuropeptide Cleavage in Four Mammalian Species Using Artificial Neural Networks and Logistic Regression Models"
     Advisor: Sandra Rodriguez-Zas
  • B.S. Animal Sciences 2003-2006, University of Illinois Urbana-Champaign; Urbana, Illinois

Awards & Honors

  • National Institute of Health F32 Fellowship, Sep 2014
  • Best Bioinformatics Poster Award at Missouri Informatics Symposium, Oct 2012
  • National Library of Medicine Biomedical Informatics Training Fellowship, 2008-2012
  • Outstanding Graduate Student in MU Informatics Institute, University of Missouri 2010
  • Jonathan Baldwin Turner Scholarship, University of Illinois Urbana-Champaign 2003-2006
  • James Scholar, University of Illinois Urbana-Champaign 2003-2005


STAT 5674: Methods in Biostatistics (Fall 2015)

  • Graphical Models
  • Data Mining
  • Support Vector Machines
  • Neural Networks
  • Hidden Markov Models
  • Classification
  • Statistical Computation
  • Protein-Protein Interaction Networks
  • Computational Systems Biology
  • Gene Expression Analysis
  • Cellular Signaling and Regulation

  • Ritz A, Poirel CL, Tegge AN, Sharp N, Powell A, Simmons K, Kale S, Murali TM. "Pathways on Demand: Automated Reconstruction of Human Signaling Networks." To appear in npj: Systems Biology and Applications.
  • Tegge AN, Sharp N, Murali TM (2016)."XTalk: a path-based approach to identifying crosstalk between signaling pathways." Bioinformatics, 32(2), 242-251.
  • Santos MCT*, Tegge AN*, Correa BRS, Mahesula S, Kohnke LQ, Qiao M, Ferreira MAR, Kokovay E, Penalva LOF (2016). "miR-124, -128 and -137 orchestrate neural differentiation by acting on overlapping gene sets containing a highly connected transcription factor network."Stem Cells, 34, 220-232 * co- first authors.
  • Cui S, Guha S, Ferreira MAR, Tegge AN (2015). "hmmSeq: A Hidden Markov Model for Detecting Differentially Expressed Genes from RNA-Seq Data." Annals of Applied Statistics, 9, 901{925.
  • Ritz A*, Tegge AN*, Kim H, Poirel CL, Murali TM (2014). "Signaling Hypergraphs." Trends in Biotechnology, 32(7), 356-362. * co- first authors.
  • Tegge AN, Caldwell CW, Xu D (2012). "Pathway Correlation Profile of Gene-Gene Co-expression for Identifying Pathway Perturbation." PLoS One, 7(12), e52127.
  • Cheng J, Wang Z, Tegge AN, Eickholt J (2009). "Prediction of Global and Local Quality of CASP8 Models by MULTICOM series." Proteins, 77, 181-184.
  • Tegge AN, Wang Z, Eickholt J, Cheng J (2009). "NNcon: Improved Protein Contact Map Prediction Using 2D-Recursive Neural Networks." Nucleic Acids Research, 37, w515-w518.
  • Wang Z, Tegge AN, Cheng J (2009). "Evaluating the Absolute Quality of a Single Protein Model Using Support Vector Machines and Structural Features." Proteins, 75(3), 638-647.
  • Cheng J, Tegge AN, Baldi P (2008). "Machine Learning Methods for Protein Structure Prediction." IEEE Reviews in Biomedical Engineering, 1, 41-49.
  • Tegge AN, Southey BR, Sweedler JV, Rodriguez-Zas SL (2008). "Comparative Analysis of Neuropeptide Cleavage Sites in Human, Mouse, Rat, and Cattle." Mammalian Genome, 19(2), 106-120.


Allison Tegge, College of Engineering

Allison N. Tegge
  • 540-231-7150
  • 213-A Hutcheson Hall (MC 0439)
    250 Drillfield Drive
    Blacksburg, VA