Biological Databases & Datamining

Section 001 (GRADUATE SECTION). Must know R; permission of Instructor required. Please contact Gail Kashishian for a permission code to register for this course.

The course is divided into three sections: 1) Introduction to MySQL and R. 2) Introduction to different data types, and 3) Machine learning methods for data mining. Students will learn to create their own database using MySQL and SQLite containing different types of biological data. Students will also learn to mine the heterogeneous biological data using machine-learning methods such as Support Vector Machines and Multiple Regressions. We will apply these methods on experimental data in order to classify and prediction gene function and regulation.






Spring 2020

Manpreet Katari
R: 9:30 AM - 12:15 PM; R: 9:30 AM - 12:15 PM GCASL 284
Nidhi Ramaraj
R: 9:30 AM - 12:15 PM; R: 9:30 AM - 12:15 PM GCASL 284