Statistics for large, complex data and its role in "Omics" research


  • Data Science Colloquium


  • 2017/2018


Francesca Chiaromonte, Scuola Superiore Sant’Anna


Wednesday, February 14, 2018 - 13:00 to 14:30


Aula 3, Scuola Superiore Sant'Anna, Piazza Martiri della Libertà, 33, Pisa

In this talk, we will provide an overview of several classes of statistical methods relevant in “Omics” sciences – as well as other scientific fields that rely on the analysis of large, complex data sets. These include (i) feature selection and dimension reduction, two different approaches for handling high dimensional supervised problems; (ii) feature screens for ultra-high dimensional supervised problems; and (iii) functional data analysis for investigating shapes. In addition to general context and notions, we will provide pointers to recent developments, and describe some specific “Omics” applications.

Zircon - This is a contributing Drupal Theme
Design by WeebPal.