manta

Non-parametric, asymptotic P-value computation for multivariate linear models

https://github.com/dgarrimar/manta

Science Score: 13.0%

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Repository

Non-parametric, asymptotic P-value computation for multivariate linear models

Basic Info
  • Host: GitHub
  • Owner: dgarrimar
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 828 KB
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  • Stars: 9
  • Watchers: 0
  • Forks: 0
  • Open Issues: 1
  • Releases: 1
Created over 7 years ago · Last pushed over 2 years ago
Metadata Files
Readme

README.md

MANTA

R-CMD-check Codecov test coverage

The Multivariate Asymptotic Non-parametric Test of Association (MANTA) enables non-parametric, asymptotic P-value computation for multivariate linear models.

Installation

```r

install.packages("devtools")

devtools::install_github("dgarrimar/manta") ```

R 3.3.2 or higher is required.

Usage

```r library(manta) manta(biomarkers ~ ., data = patients)

>

> Call:

> manta(formula = biomarkers ~ ., data = patients)

>

> Type II Sum of Squares

>

> Df Sum Sq Mean Sq F value R2 Pr(>F)

> age 1 400.6 400.63 7.3566 0.04242 0.001685 **

> gender 1 34.3 34.28 0.6295 0.00363 0.5144

> status 2 2152.7 1076.33 19.7643 0.22793 1.348e-12 ***

> Residuals 91 4955.7 54.46

> ---

> Signif. codes: 0 '**' 0.001 '' 0.01 '' 0.05 '.' 0.1 ' ' 1

> 4 observations deleted due to missingness

```

Cite MANTA

If you find MANTA useful in your research please cite the related publication:

Garrido-Martín, D., Calvo, M., Reverter, F., Guigó, R. A fast non-parametric test of association for multiple traits. Genome Biol 24, 230 (2023). https://doi.org/10.1186/s13059-023-03076-8

Owner

  • Name: Diego Garrido-Martín
  • Login: dgarrimar
  • Kind: user
  • Location: Barcelona, Spain
  • Company: Centre for Genomic Regulation (CRG)

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  • Total versions: 2
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cran.r-project.org: manta

Multivariate Asymptotic Non-Parametric Test of Association

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 163 Last month
Rankings
Stargazers count: 20.7%
Forks count: 21.3%
Dependent packages count: 28.0%
Dependent repos count: 36.6%
Average: 38.6%
Downloads: 86.0%
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Last synced: 11 months ago