Here, we present SLIDE, a novel data-distribution-free approach to analyze high-dimensional multiomic datasets and uncover latent factors that drive the outcome of interest.
- SLIDE makes no assumptions regarding the distribution of the underlying data as it significantly builds on a unique latent-factor regression framework.
- It takes into account an extremely large search space of relationships to converge on a very small subset of biologically relevant and actionable latent factors.
- Critically, SLIDE incorporates both linear and nonlinear relationships, including complex hierarchical structures.
- The discovery of SLIDE is also coupled to rigorous false discovery rate (FDR) control via our unique analytical framework that creatively adapts ultramodern methods for FDR control
The link for the paper:website
First install SLIDE in R by running the following code from a R command terminal:
library(devtools)
devtools::install_github("jishnu-lab/SLIDE")
Requires R ≥ 4.2
For running the software please refer to vignette folder.
For minimal performance of the SLIDE, a computer with about 8 GB of RAM is required. For optimal performance, we recommend a computer with the following specs:
RAM: 16+ GB CPU: 4+ cores, 3.3+ GHz/core