Integration-Algorithm-SIMPLS: Integration Algorithm SIMPLS

In bioinfoDZ/RISC: Robust Integration of Single-Cell RNA-Seq Datasets

Integration Algorithm SIMPLS

Description

The partial least square (PLS) with SIMPLS algorithm is an extension of the multiple linear regression model and considered as bilinear factor models. Instead of embedding the reference and target matrices into a hyperplane of maximum variance, the PLS utilizes a linear regression to project the reference and target matrices into a new place. The SIMPLS algorithm provides the regularization procedure for PLS. The matrices need to be centered before SIMPLS integraton.

Usage

SIMPLS(X, Y, npcs = 10, seed = 123)

Arguments

X	The reference matrix, row for genes and column for cells.
Y	The target matrix, row for genes and column for cells.
npcs	The number of the PCs used for data integration.
seed	The random seed to keep consistent result.

References

De-Jong et al. (1993)

bioinfoDZ/RISC documentation built on March 30, 2024, 9:19 p.m.