Description Usage Arguments Details Value Author(s) References See Also Examples
Function betaparametw is used to calculate weight.
1 | betaparametw(xn, a, b)
|
xn |
vector of m library sizes. Library size is sum of counts over the whole library. |
a |
parameter alpha in beta distribution derived from output of function betaparametab |
b |
parameter beta in beta distribution derived from output of function betaparametab |
alpha and beta are used to calculate weight. Then weight is in turn used to correct bias of estimation of alpha and beta in betaparametab function.
return weight(W)
Yuan-De Tan tanyuande@gmail.com
Baggerly KA, Deng L, Morris JS, Aldaz CM (2003) Differential expression in SAGE: accounting for normal between-library variation. Bioinformatics, 19: 1477-1483.
Yuan-De Tan, Anita M. Chandler, Arindam Chaudhury, and Joel R. Neilson(2015) A Powerful Statistical Approach for Large-scale Differential Transcription Analysis.Plos One. 2015 DOI: 10.1371/journal.pone.0123658.
1 2 3 4 5 | XX<-c(2000,2000,2000)
a<-1.1458
b<-6.4932
betaparametw(xn=XX,a=a,b=b)
#[1] 0.3333333 0.3333333 0.3333333
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