Pokročilá statistika pro bioinformatiku

• BRIŠ, Radim. Probability and Statistics for Engineers. Ostrava, 2011. Available at: http://homel.vsb.cz/~bri10/Teaching/Prob%20&%20Stat.pdf
• JOHNSON, James L. Probability and statistics for computer science. Hoboken, NJ: Wiley Interscience, 2008. ISBN 978-0470383421 .
• VAN BELLE, Gerald a Lloyd FISHER. Biostatistics: a methodology for the health sciences. 2nd ed. Hoboken, NJ: John Wiley, 2004. ISBN 0471031852.

• HASTIE, Trevor, Robert TIBSHIRANI a J. H FRIEDMAN. The elements of statistical learning: data mining, inference, and prediction. 2nd ed. New York, NY: Springer, 2009. ISBN 9780387848570.
• JAMES, Gareth, Daniela WITTEN, Trevor HASTIE a Robert TIBSHIRANI. An introduction to statistical learning: with applications in R. New York: Springer, [2013]. Springer texts in statistics, 103. ISBN 978-1-4614-7138-7 .
• MOORE, Dirk F. Applied survival analysis using R. New York, NY: Springer Science+Business Media, 2016. ISBN 978-3319312439 .
• TUTZ, Gerhard. Regression for categorical data. New York: Cambridge University Press, 2012. ISBN 9781107009653 .
• HOSMER, David W a Stanley LEMESHOW. Applied logistic regression. 2nd ed. New York: Wiley, 2000. ISBN 978-0471-35632-8 .
• MÜLLER, Peter, Fernando Andres QUINTANA, Alejandro JARA a Tim HANSON. Bayesian Nonparametric Data Analysis. Springer, 2015. ISBN 978-3319189673 .