Friday, December 14, 2007
Merja Oja: Methods for Exploring Genomic Data Sets
Merja Oja, a resercher in our laboratory, is defending her thesis "Methods for Exploring Genomic Data Sets: Application to Human Endogenous Retroviruses" for the moment. The opponent is Professor Hiroshi Mamitsuka from University of Kyoto. In Merja Oja's thesis, exploratory data analysis methods have been developed for analyzing genomic data, in particular human endogenous retrovirus (HERV) sequences and gene expression data. HERVs are remains of ancient retrovirus infections and now reside within the human genome. The work has been conducted in Professor Samuel Kaski's group on Statistical machine learning and bioinformatics.