Seminar Series | Discussion Papers | Software | Conferences
Research Interests
Research Interests: Bioinformatics, Monte Carlo Methods, Statistical Shape Analysis, Machine Learning, Computational Chemistry
- Recent Publications
- S.C. Schmidler, Discussion of "A Statistical Approach to Modeling Genomic Aberrations in Cancer Cells" by Newton et. al,
Bayesian Statistics7
(2003), Oxford University Press.
- Schmidler, S.C., Liu, J.S., Brutlag, D.L., Bayesian segmentation of protein secondary structure,
Journal of Computational Biology, vol. 7 no. 1/2
(2000),
pp. 233-248.
- Schmidler, S.C., Liu, J.S., Brutlag, D.L., Probabilistic modeling for protein structure prediction,
FASEB Journal, vol. 13 no. 7
(1999),
pp. A1542.
- Schmidler, S.C., Liu, J.S., Brutlag, D.L., Bayesian protein structure prediction,
Case Studies in Bayesian Statistics, vol. 5
(1999),
pp. 363-378.
- Wu, T.D., Schmidler, S.C., Hastie, T., Brutlag, D.L., Regression analysis of multiple protein structures,
Journal of Computational Biology, vol. 5 no. 3
(1998),
pp. 597-607.
