Points of significance: Bayes' theorem.
JL Puga, M Krzywinski, N Altman - Nature Methods, 2015 - search.ebscohost.com
The article focuses on use of probability theory Bayes' theorem for making predictions for
scientific process. Topics discussed include use of Bayesian statistics to assume population
parameters, application of Bayes' theorem to inverse probability problems, and evolution of
disease probability predictions with multiple assays.
scientific process. Topics discussed include use of Bayesian statistics to assume population
parameters, application of Bayes' theorem to inverse probability problems, and evolution of
disease probability predictions with multiple assays.
Points of Significance: Bayesian networks.
JL Puga, M Krzywinski, N Altman - Nature methods, 2015 - search.ebscohost.com
Bayesian networks Page 1 NATURE METHODS | VOL.12 NO.9 | SEPTEMBER 2015 | 799 THIS
MONTH for A lists all possible states for A, and the CPT lists all possible state combinations of A
and B. Once the network is constructed and the probabilities specified, Bayes’ theorem is used
to propagate probability through the model. We’ll use a hypothetical gene regulation pathway
(Fig. 1a) to illustrate calculations and inferences in the corresponding Bayesian network, in
which genes are modeled as binary variables with a probability of being in an active (Y) or …
MONTH for A lists all possible states for A, and the CPT lists all possible state combinations of A
and B. Once the network is constructed and the probabilities specified, Bayes’ theorem is used
to propagate probability through the model. We’ll use a hypothetical gene regulation pathway
(Fig. 1a) to illustrate calculations and inferences in the corresponding Bayesian network, in
which genes are modeled as binary variables with a probability of being in an active (Y) or …
