[Koji Tsuda]Discrete Structural Statistics: A Data-centric Framework for Empowering Cancer Science


Research Director

Koji Tsuda

Koji Tsuda

Graduate School of Frontier Sciences,The University of Tokyo
Professor


Outline

In statistical testing for high dimensional data, the multiple testing problem makes it difficult to discover true causes of biological and clinical phenomena. The primal aim of this project is to establish a new field of statistics termed discrete structural statistics by integrating discrete algorithms and classical statistics. In collaboration with three leading cancer research institutes, we try to discover yet unknown causes of neuroblastoma, a common pediatric cancer, from multi-omits data.

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