PosteriorProbability

Full name SMRUCC.genomics.Analysis.Metagenome.BEBaC.PosteriorProbability Assembly SMRUCC.genomics.Analysis.Metagenome Members 3

01 Syntax

SMRUCC.genomics.Analysis.Metagenome.BEBaC.PosteriorProbability

02 Methods

Name	Overloads	Summary
Probability	1	For all 3-mer count vectors in a crude cluster c, we assume the probability To observe any 3-mer Is the same.
MarginalLikelihood	1	Provides an analytical form of the marginal likelihood Of y(N) given the partition S, which Is proportional to the posterior probability as suggested by Equation (2).
nj	1	Where ncj = ∑yij is the total count Of the j-th 3-mer in cluster c.

03 Members

method Probability #

Probability(IEnumerable(Of I3merVector))

For all 3-mer count vectors in a crude cluster c, we assume the probability To observe any 3-mer Is the same.

Here we denote the probabilities To observe the 3-mers In cluster c As (pc1, pc2, ... , pc64). Then, the conditional likelihood of the data Is defined as

 p(y{n}|D,S) = ∏{c,1->k}∏{j,1->64}pcj

method MarginalLikelihood #

MarginalLikelihood(IEnumerable(Of Cluster))

Provides an analytical form of the marginal likelihood Of y(N) given the partition S, which Is proportional to the posterior probability as suggested by Equation (2).

Parameters

Name	Type	Description
`s`	`IEnumerable(Of Cluster)`	-

method nj #

nj(IEnumerable(Of I3merVector), I3Mers)

Where ncj = ∑yij is the total count Of the j-th 3-mer in cluster **c**.

Parameters

Name	Type	Description
`c`	`IEnumerable(Of I3merVector)`	-
`j`	I3Mers	-