MeTPeak statistics

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MeTPeak specifications

Information


Unique identifier OMICS_13800
Name MeTPeak
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C++
License GNU General Public License version 2.0
Computer skills Advanced
Version 1.1
Stability Stable
Requirements
R, Devtools, Rsamtools, GenomicFeatures, rtracklayer, GenomicAlignments, Rcpp, RcppArmadillo, BH
Maintained Yes

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Maintainer


  • person_outline Yufei Huang <>

Publication for MeTPeak

MeTPeak in publications

 (4)
PMCID: 5852201
PMID: 29080964
DOI: 10.1007/s40618-017-0771-2

[…] ckage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \dot{v} $$\end{document}v˙o2peak (p = 0.02) and metpeak (p = 0.02) during the incremental treadmill test. interestingly, no significant time × gender interaction was found for \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{w […]

PMCID: 4452101
PMID: 26089890
DOI: 10.1155/2015/695297

[…] exercise training based on heart rate at aertge whereas cg maintained their usual lifestyle. anthropometric measures, blood analysis, peak oxygen consumption (v˙o2peak), metabolic equivalent (metpeak), work rate (wrpeak), and wraertge were assessed at baseline and after intervention. after training, patients enrolled in the ig had significantly higher (p < 0.001) v˙o2peak, metpeak, […]

PMCID: 3761155
PMID: 24027537
DOI: 10.3389/fphys.2013.00243

[…] in physiology., the purpose of this study was to determine whether a rating of perceived exertion scale (rpe) obtained during submaximal exercise could be used to predict peak exercise capacity (metpeak) in coronary artery disease (cad) patients. angiographically documented cad patients (n = 124, 87% on β blockade) completed a symptom-limited peak exercise test on a bicycle ergometer, […]

PMCID: 3236484
PMID: 22187648
DOI: 10.1155/2012/518045

[…] and resting heart rate (rhr) were entered, respectively, into the first, second, third, fourth, fifth, and sixth blocks of the hierarchical linear regression procedure to develop a model to predict metpeak (i.e., the number of mets achieved at vo2  peak). , the coefficient of determination (r 2) and the standard error of estimate (see) were calculated and the prediction equation generated […]


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MeTPeak institution(s)
Department of Electrical and Computer Engineering, University of Texas at San Antonio, TX, USA; Department of Biological Science, XI'an Jiaotong-Liverpool University, Suzhou, China; College of Automation, Northwestern Polytechnical University, XI'an, China; Greehey Children’s Cancer Research Institute; Department of Epidemiology and Biostatistics, University of Texas Health Science Center at San Antonio, TX, USA
MeTPeak funding source(s)
This work was supported by the National Institutes of Health (grants n°NCIP30CA54174, 5 U54 CA113001 and R01GM113245), the National Science Foundation (grant n°CCF-1246073), the William and Ella Medical Research Foundation grant, the Thrive Well Foundation, the Max and Minnie Tomerlin Voelcker Fund and the Natural Science Foundation of China (grant n°61473232).

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