title: Probabilistic reasoning in data analysis.
abstract: This Teaching Resource provides lecture notes, slides, and a student assignment for a lecture on probabilistic reasoning in the analysis of biological data. General probabilistic frameworks are introduced, and a number of standard probability distributions are described using simple intuitive ideas. Particular attention is focused on random arrivals that are independent of prior history (Markovian events), with an emphasis on waiting times, Poisson processes, and Poisson probability distributions. The use of these various probability distributions is applied to biomedical problems, including several classic experimental studies.
authors.affiliation: Department of Pharmacology and Systems Therapeutics and Systems Biology Center New York, Mount Sinai School of Medicine, New York, NY 10029, USA. lsirovich@mail.rockefeller.edu
authors.forename: Lawrence
authors.initials: L
authors.lastname: Sirovich
mesh_terms: D019295:Computational Biology / Q000193:education* / Q000379:methods; D003627:Data Interpretation, Statistical; D008390:Markov Chains; D016012:Poisson Distribution; D011336:Probability