derif: Column gradient for the loss function based on Pearson...
In tengfei-emory/scBatch: Batch Effect Correction Through Sample Distance Matrix Correction
Description
Usage
Arguments
Author(s)
Description
A specific implementation of column gradient to be used in the main coordinate gradient descent algorithm scBatchCpp
Usage
1
Arguments
c
The original p*n batch effect data with n subjects and p RNA-seq measurements.
w
An initial n*n weight matrix to conduct linear transformation. Default to be identity matrix if not specified.
d
The n*n distance matrix obtained by QuantNorm.
core
Pre-calculated component from main algorithm in order to save computation time.
idx
Random selected columns input from the main algorithm.
Author(s)
Teng Fei. Email: tfei@emory.edu
tengfei-emory/scBatch documentation built on June 6, 2021, 10:22 p.m.
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Description Usage Arguments Author(s)
Description
A specific implementation of column gradient to be used in the main coordinate gradient descent algorithm scBatchCpp
Usage
1 |
Arguments
c |
The original p*n batch effect data with n subjects and p RNA-seq measurements. |
w |
An initial n*n weight matrix to conduct linear transformation. Default to be identity matrix if not specified. |
d |
The n*n distance matrix obtained by QuantNorm. |
core |
Pre-calculated component from main algorithm in order to save computation time. |
idx |
Random selected columns input from the main algorithm. |
Author(s)
Teng Fei. Email: tfei@emory.edu
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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