nmf.heatmap: A Function to find responsible genes for variation within a...
In ASharmaML/nmf-gene:
Description
Usage
Arguments
Examples
Description
This function allows you to find the likely genes responsible for affecting a variable, typically the presence or absence of a disease
Usage
1
2
nmf.heatmap(H.matrix, variable, step = 1,
variable.name = "unspecified variable")
Arguments
H.matrix
The H.matrix of an NMF factorisation of a gene expression dataset
variable
A vector containing values for the discrete variable or disease to be investigated
step
The skip value to determine how many patients/subjects to display
variable.name
The name of the variable being investigated
Examples
1
ASharmaML/nmf-gene documentation built on May 14, 2019, 8:57 a.m.
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Description Usage Arguments Examples
Description
This function allows you to find the likely genes responsible for affecting a variable, typically the presence or absence of a disease
Usage
1 2 | nmf.heatmap(H.matrix, variable, step = 1,
variable.name = "unspecified variable")
|
Arguments
H.matrix |
The H.matrix of an NMF factorisation of a gene expression dataset |
variable |
A vector containing values for the discrete variable or disease to be investigated |
step |
The skip value to determine how many patients/subjects to display |
variable.name |
The name of the variable being investigated |
Examples
1 |
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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