As an Amazon Associate I earn from qualifying purchases.

Posterior Probability Notes: Definitions & Explanations PDF Download

Study Posterior Probability lecture notes PDF with bioinformatics definitions and explanation to study “What is Posterior Probability?”. Study posterior probability explanation with bioinformatics terms to review bioinformatics course for online degree programs.

Posterior Probability Definition:

  • Probability that is revised from prior expectations, after learning something new about the data.

    Essential Bioinformatics by Jin Xiong



Posterior Probability Notes:

The posterior probability of a random event is the statistical probability that is assigned in the light of relevant prior observations from an experiment, after knowing facts that are known before.

Keep Learning with Bioinformatics Notes

What is Sensitivity?

Sensitivity is the criteria to check the accurcy of the algorithm. Sensitivity is to predict all the correct results. The ...

What is Transformation?

Transformation is the one of the process of horizontal gene transfer, in which incorporation of external genetic material occurs from ...

What is Radiation?

Radiation is a process in which an organism diversify immediately from an ancestral species into a more than two new ...

What is Supervised Analysis?

The supervised analysis is an approach in which data is classified according to the already defined groups. ...

What is Bulge Loop?

A secondary structure formed in nucleic acid helices when two or more consecutive bases remain unpaired and forms a bubble, ...

What is Homology Modeling and Comparative Modeling?

Homology modeling or Comparative modeling is a method for prediction of 3D stucture of the proteins homologous sequence with already ...