Reading materials, links for online resources, Excel files and R codes will be provided by the instructor and will be adequate enough for this course.
1.Whitlock, Michael C.; Schluter, Dolph. The Analysis of Biological Data (2nd edition). Freeman, W. H. & Company, 2014.
2.Yang, Zheng R.; Machine Learning Approaches to Bioinformatics. World Scientific, 2010.
3.Moses, Alan; Statistical Modeling and Machine Learning for Molecular Biology. Chapman and Hall/CRC, 2016.
4.Hartvigsen, Gregg. A Primer in Biological Data Analysis and Visualization Using R, (1st Edition). Columbia University Press, 2014.
5.Stewart, James; Day, Troy; Biocalculus: Calculus for Life Sciences. Cengage Learning, 2015
6.James, Gareth, etal. An introduction to statistical learning with application in R. Vol. 112. New York: springer,
First edition can be downloaded from the website https://www.statlearning.com/