Imperial College London
Portrait Picture

Dr Andrea Rodriguez Martinez

Faculty of Medicine, School of Public Health

Honorary Research Associate
 
 
 
//

Contact

 

andrea.rodriguez-martinez13

 
 
//

Location

 

Norfolk PlaceSt Mary's Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Rodriguez:2017:bioinformatics/btx477,
author = {Rodriguez, Martinez A and Posma, JM and Ayala, R and Neves, AL and Anwar, M and Petretto, E and Emanueli, C and Gauguier, D and Nicholson, JK and Dumas, M},
doi = {bioinformatics/btx477},
journal = {Bioinformatics},
pages = {890--892},
title = {MWASTools: an R/Bioconductor package for metabolome-wide association studies},
url = {http://dx.doi.org/10.1093/bioinformatics/btx477},
volume = {34},
year = {2017}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Summary: MWASTools is an R package designed to provide an integrated pipeline to analyze metabonomic data in large-scale epidemiological studies. Key functionalities of our package include: quality control analysis; metabolome-wide association analysis using various models (partial correlations, generalized linear models); visualization of statistical outcomes; metabolite assignment using statistical total correlation spectroscopy (STOCSY); and biological interpretation of MWAS results.Availability: The MWASTools R package is implemented in R (version > =3.4) and is available from Bioconductor: https://bioconductor.org/packages/MWASTools/
AU  - Rodriguez,Martinez A
AU  - Posma,JM
AU  - Ayala,R
AU  - Neves,AL
AU  - Anwar,M
AU  - Petretto,E
AU  - Emanueli,C
AU  - Gauguier,D
AU  - Nicholson,JK
AU  - Dumas,M
DO  - bioinformatics/btx477
EP  - 892
PY  - 2017///
SN  - 1367-4803
SP  - 890
TI  - MWASTools: an R/Bioconductor package for metabolome-wide association studies
T2  - Bioinformatics
UR  - http://dx.doi.org/10.1093/bioinformatics/btx477
UR  - http://hdl.handle.net/10044/1/50133
VL  - 34
ER  -
Download