生物機器學習

This course covers the fundamentals of statistics and basic tools for bioinformatics analysis. In the first part students will learn basic statistical concepts and methods, including probability, random variables and distributions, parameter estimation, hypothesis testing, regression analysis, and categorical data analysis. In the second part several commonly used methods in bioinformatics will be introduced, including statistical meta analysis, survival analysis, clustering, classification, and nonparametric statistics.

Please refer to the following link for updated information: https://tigpbp.iis.sinica.edu.tw/tigpbio/index.html

Textbook: Fundamentals of Biostatistics (author: Bernard Rosner), Cengage Learning. Reference book: Pattern Recognition (author: Richard O. Duda, Peter E. Hart, and David G. Stork), Wiley.