| metamorphr-package | R Documentation |
Facilitate tasks typically encountered during metabolomics data analysis including data import, filtering, missing value imputation (Stacklies et al. (2007) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1093/bioinformatics/btm069")}, Stekhoven et al. (2012) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1093/bioinformatics/btr597")}, Tibshirani et al. (2017) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18129/B9.BIOC.IMPUTE")}, Troyanskaya et al. (2001) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1093/bioinformatics/17.6.520")}), normalization (Bolstad et al. (2003) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1093/bioinformatics/19.2.185")}, Dieterle et al. (2006) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1021/ac051632c")}, Zhao et al. (2020) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1038/s41598-020-72664-6")}) transformation, centering and scaling (Van Den Berg et al. (2006) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1186/1471-2164-7-142")}) as well as statistical tests and plotting. 'metamorphr' introduces a tidy (Wickham et al. (2019) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.21105/joss.01686")}) format for metabolomics data and is designed to make it easier to build elaborate analysis workflows and to integrate them with 'tidyverse' packages including 'dplyr' and 'ggplot2'.
Maintainer: Yannik Schermer yannik.schermer@chem.rptu.de (ORCID) [copyright holder]
Authors:
Yannik Schermer yannik.schermer@chem.rptu.de (ORCID) [copyright holder]
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