https://github.com/irinagain/SLIDE

R package SLIDE for Structural Learning and Integrative Decomposition of Multi-View Data
https://github.com/irinagain/SLIDE

Last synced: 28 days ago
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R package SLIDE for Structural Learning and Integrative Decomposition of Multi-View Data

• Host: GitHub
• URL: https://github.com/irinagain/SLIDE
• Owner: irinagain
• Created: 2017-07-20T16:14:35.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2021-08-10T15:52:55.000Z (almost 3 years ago)
• Last Synced: 2024-05-22T02:13:50.694Z (about 2 months ago)
• Language: R
• Size: 83 KB
• Stars: 7
• Watchers: 1
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Lists

• awesome-multi-omics - SLIDE - Gaynanova - Structural Learning and Integrative Decomposition of Multi-View Data - [paper](https://arxiv.org/abs/1707.06573) (Software packages and methods / Multi-omics correlation or factor analysis)

README

        
# R package SLIDE for Structural Learning and Integrative Decomposition of Multi-View Data

SLIDE (Structural Learning and Integrative DEcomposition) is an R package that implements methods described in 

  * [Gaynanova, Irina, and Gen Li. *"Structural learning and integrative decomposition of multi‐view data."* Biometrics 75.4 (2019): 1121-1132.](https://doi.org/10.1111/biom.13108)

To install from Github:

``` install

devtools::install_github("irinagain/SLIDE")

```

The main function is `slide`, which fits SLIDE model to the multi-vew data. There are also several supporting functions. Each function has a documentation with a simple example which can be accessed using standard ? commands in R (i.e. `?slide`).

Example

-------

```{r}

n = 25

p1 = 10

p2 = 10

data = generateModel1(n = n, pvec = c(p1, p2))

out_slide = slide(X = data$X, pvec = c(p1,p2))

out_slide$S

```