Statistics and Data Science Seminar
Professor Probal Chaudhuri
Indian Statistical Institute
Statistical Learning Problems in Molecular Biology
Abstract: Statistical learning problems arise in the study of molecular evolution as well
as in the development of gene predictors. Problems can be unsupervised,
supervised or partially supervised in nature depending on the situation. This
talk will discuss the use of oligonucleotide distributions in DNA sequences in
solving such problems. Some related probabilistic models for DNA sequences will
also be discussed. In particular, a stochastic replication model for biological
sequences will be introduced that generalizes standard hidden Markov models.
Monday February 6, 2006 at 4:00 PM in SEO 636