EstepByGene: E-step without Gauss–Legendre quadrature approximation
In cz-ye/DECENT: Differential Expression with Capture Efficiency adjustmeNT
EstepByGene R Documentation
E-step without Gauss–Legendre quadrature approximation
Description
Perform E-step for one gene, without GQ approximation
Usage
EstepByGene(par, z, sf, pi0, mu, disp, k, b)
Arguments
par
A matrix with two columns containing coefficient for the dropout model. The second column is currently unused
and set to zero but may be used in the future to model droput rates dependence on gene-specific factors.
z
vector of observed count
sf
Size factors for different cells
pi0
Gene-specific zero-inflated parameter
mu
Gene-specific mean parameter
disp
Reciprocal of gene-specific size parameter for
cz-ye/DECENT documentation built on Jan. 25, 2023, 5:57 a.m.
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| EstepByGene | R Documentation |
E-step without Gauss–Legendre quadrature approximation
Description
Perform E-step for one gene, without GQ approximation
Usage
EstepByGene(par, z, sf, pi0, mu, disp, k, b)
Arguments
par |
A matrix with two columns containing coefficient for the dropout model. The second column is currently unused and set to zero but may be used in the future to model droput rates dependence on gene-specific factors. |
z |
vector of observed count |
sf |
Size factors for different cells |
pi0 |
Gene-specific zero-inflated parameter |
mu |
Gene-specific mean parameter |
disp |
Reciprocal of gene-specific size parameter for |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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