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Michael Molla's Publications

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• P. Matejkova, M. Strouhal, D. Smajs, S. J. Norris, T. Palzkill, J. F. Petrosino, E. Sodergren, J. E. Norton, J. Singh, T. A. Richmond, M. N. Molla, T. J. Albert and G. M. Weinstock (2008)
  Complete genome sequence of Treponema pallidum ssp. pallidum strain SS14 determined with oligonucleotide arrays BMC Microbiology, 8:76, May 2008.
  
  
• T. Albert, M. Molla, D. Muzny, L. Nazareth, D. Wheeler, X. Song, T. Richmond, C. Middle, M. Rodesch, C. Packard, G. Weinstock, and R. Gibbs (2007)
  Direct Selection of Human Genomic Loci by Microarray Hybridization Nature Methods, 4:11 pp 907-909.
  
  
• M. Molla and T. Gardner. (2007)
  Roll Credits: Sometimes the Authorship Byline Isnt Enough PLoS BLOG. Guest Authors.
  
  
• M. Molla (2007).
  Novel Uses for Machine Learning and Other Computational Methods for the Design and Interpretation of Genetic Microarrays. PhD thesis, Department of Computer Sciences, University of Wisconsin-Madison.
  (Also appears as UW Technical Report CS-TR-07-1612)
  
  
• E. Hodges, Z. Xuan, V. Balija, M. Kramer, M. Molla, S. Smith, C. Middle, M. Rodesch, T. Albert, G. Hannon and W. McCombie (2007).
  Genome-Wide in Situ Exon Capture for Selective Resequencing Nature Genetics, November 4, 2007.
  
  
• T. Albert, D. Dailidiene, G. Dailide, J. Norton, A. Kalia, T. Richmond, M. Molla, J. Singh, R. Green & D. Berg (2005).
  Mutation discovery in bacterial genomes: metronidazole resistance in Helicobacter pylori Nature Methods, 2:12 pp 951-953
  
  
• E. Haag & M. Molla (2005).
  Compensatory evolution of interacting gene products through multifunctional intermediates. Evolution, 59, pp. 1620-32.
  
  
• M. Molla, J. Shavlik, T. Albert, T. Richmond & S. Smith(2004).
  A Self-Tuning Method for One-Chip SNP Identification. Proceedings of the IEEE Conference on Computer Systems Bioinformatics (CSB 2004), Stanford, CA
  
  
• M. Molla, M. Waddell, D. Page & J. Shavlik (2004).
  Using Machine Learning to Design and Interpret Gene-Expression Microarrays. AI Magazine, 25, pp. 23-44.
  
  
• M. Molla, P. Andreae & J. Shavlik (2004).
  Building Genome Expression Models using Microarray Expression Data and Text. Department of Computer Sciences, University of Wisconsin, Machine Learning Research Group Working Paper 04-1.
  
  
• M. Molla, P. Andrae, J, Glasner, F. Blattner & J. Shavlik (2002).
  Interpreting Microarray Expression Data Using Text Annotating the Genes. Information Sciences, 146, pp. 73-86.
  Also appears in: Proceedings of the 4th Conference on Computational Biology and Genome Informatics, Durham, NC
  
  
• E. F. Nuwaysir, W. Huang, T. Albert, J. Singh, K. Nuwaysir, A. Pitas, T. Richmond, T. Gorski, J. Berg, J. Ballin, M. McCormick, J. Norton, T. Pollock, T. Sumwalt, L. Butcher, D. Porter, M. Molla, C. Hall, F. Blattner, M. Sussman, R. Wallace, F. Cerrina, and R. Green (2002).
  Gene Expression Analysis Using Oligonucleotide Arrays Produced by Maskless Photolithography Genome Research, Vol. 12, Issue 11, 1749-1755, Cold Spring Harbor Laboratory Press ISSN 1088-9051/02
  
  
• J. Tobler, M. Molla, E. Nuwaysir, R. Green & J. Shavlik (2002).
  Evaluating Machine Learning Approaches for Aiding Probe Selection for Gene-Expression Arrays. Bioinformatics, Special Issue Based on the Papers Presented at the Tenth International Conference on Intelligent Systems for Molecular Biology (ISMB-02), Edmonton, Canada, 18, pp. S164-S171.