AE: Feature auto encoder class
In ff98li/scRGNet: Perform scRNA-seq Analysis using Single-cell Graphical Neural Network (scGNN) Framework
Description
Usage
Arguments
Details
Value
Fields
Description
Create a new feature autoencoder object.
Perform demension reduction to encode feature through the first two layers
Reconstruct to decode feature through the last two layers
Forward feeding
Usage
1
Arguments
dim
Dimension of features of input.
Details
An auto-encoder to perform dimensional reeduction on features
#' @references
\insertRefGCNscRGNet
Value
A new AE object.
encoded matrix
reconstructed matrix
Fields
dimDimension of features of input matrix
fc1First layer of encoder
fc2Hidden layer decoder
fc3Hidden layer decoder
fc4Second layer decoder
ff98li/scRGNet documentation built on Jan. 14, 2022, 4:58 a.m.
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Description Usage Arguments Details Value Fields
Description
Create a new feature autoencoder object.
Perform demension reduction to encode feature through the first two layers
Reconstruct to decode feature through the last two layers
Forward feeding
Usage
1 |
Arguments
dim |
Dimension of features of input. |
Details
An auto-encoder to perform dimensional reeduction on features
#' @references \insertRefGCNscRGNet
Value
A new AE object.
encoded matrix
reconstructed matrix
Fields
dimDimension of features of input matrix
fc1First layer of encoder
fc2Hidden layer decoder
fc3Hidden layer decoder
fc4Second layer decoder
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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