Internal Seminar: Saze Unit and Hikami Unit

Date

Friday, July 24, 2015 - 17:00 to 18:00

Location

B250

Description

Join us for July's second Internal Seminar Series on July 24, from 17:00 to 18:00 in B250. This month's second seminar features the Plant Epigenetics Unit (Hidetoshi Saze) and the Mathematical and Theoretical Physics Unit (Shinobu Hikami).

Plant Epigenetics Unit (Hidetoshi Saze)

Speaker : Yuji Miyazaki

Title : Identification of factors involved in the regulation of intragenic Transposable Elements

Abstract : Eukaryotic genomes contain many parasitic transposable elements (TEs), which are generally silenced by host epigenetic mechanisms such as DNA methylation and histone modifications. We are studying epigenetic regulation of TEs and its biological impacts using plant model system. Recently, we reported an analysis of epigenetic modifications in intragenic TEs in the Arabidopsis genome (Tu et al., 2015). Currently we are trying to identify molecular factors involved in recognition of intragenic TEs through forward genetics approach, and our screening strategy and the progress will be presented in this seminar.

 

Mathematical and Theoretical Physics Unit (Shinobu Hikami)

Speaker : Tomoki Tokuda

Title : Multiple clustering for high-dimensional data

Abstract : Clustering objects is a basic statistical approach, which separates the objects into several groups based on their similarities. Conventional clustering methods such as hierarchical or K-means yield a single clustering using all features (i.e., variables). However, such conventional methods often do not work well for high-dimensional data, which may consist of multiple 'views' that characterize different clusterings. In this talk, I introduce a novel method that can capture such underlying multiple clustering structures of data. This method is applicable to high-dimensional data (n < p) with mixing of different types of features such as numerical and categorical. The application to real data on depressive disorder is also discussed.

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