Publications

(not really keeping this up to date, check Google Scholar for updates)

Salvatore Iovino, Alison M. Burkart, Kristina Kriauciunas, Laura Warren, Katelyn J. Hughes, Michael Molla, Youn-Kyoung Lee, Mary-Elizabeth Patti, and C. Ronald Kahn (2014) Genetic Insulin Resistance is a Potent Regulator of Gene Expression and Proliferation in Human iPS Cells; Diabetes July 24, 2014
Aaron M Cypess, Andrew P White, Cecile Vernochet, Tim J Schulz, Ruidan Xue, Christina A Sass, Tian Liang Huang, Carla Roberts-Toler, Lauren S Weiner, Cathy Sze, Aron T Chacko, Laura N Deschamps, Lindsay M Herder, Nathan Truchan, Allison L Glasgow, Ashley R Holman, Alina Gavrila, Per-Olof Hasselgren, Marcelo A Mori, Michael Molla, Yu-Hua Tseng (2013) Anatomical localization, gene expression profiling and functional characterization of adult human neck brown fat Nature Medicine, April 21, 2013
E. J. Radford, E. Isganaitis, J. Jiminez-Chillaron, J. Schroeder, M. Molla, S. Andrews, N. Didier, M. Charalambous, K. McEwen, G. Marazzi, D. Sassoon, M.-E. Patti, A. C. Ferguson-Smith (2012)
An unbiased assessment of the role of imprinted genes in an intergenerational model of developmental programming PLoS Genetics, April 2012.
O. P. Ganda, C. G. Jumes, M. J. Abrahamson, M. Molla (2012) Quantification of concordance and discordance between apolipoprotein-B and the currently recommended non-HDL-Cholesterol goals for cardiovascular risk assessment in patients with diabetes and hypertriglyceridemia Diabetes Research and Clinical Practice, Available Online March 27, 2012.
H. Lee, M. Molla, C. Cantor and J. Collins (2010) Bacterial Charity Work Leads to Population-Wide Resistance Nature 467, 82-85
M. Molla*, A. Delcher*, S. Sunyaev, C. Cantor and S. Kasif (2009) Triplet Repeat Length Bias and Variation in the Human Transcriptome Proceedings of the National Academy of Sciences, USA, October 6, 2009 vol. 106 no. 40 17095-17100(*=Authors contributed equally)

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 Guest Authors, Public Library of Science Weblog (PLoS Blog), November 2007.
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.
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. Haag & M. Molla (2005). Compensatory evolution of interacting gene products through multifunctional intermediates. Evolution, 59, pp. 1620-32.
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
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.