gplots: Various R Programming Tools for Plotting Data

By G. Warnes, Benjamin M. Bolker, L. Bonebakker, Robert Gentleman, Wha Liaw, Thomas Lumley, M. Maechler, Arni Magnusson, S. Moeller, Michael L. Schwartz and 7 more. 2015

3,145 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8917b76eacbd57ff9640214c3931d7057f111834

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Citations in the corpus

Emerging investigators series: microbial communities in full-scale drinking water distribution systems – a meta-analysis (2016, unknown): “Beta-diversity analyses involved clustering of samples using the heatmap2 module in gplots 56 using the Bray – Curtis distance metric, while overlap in membership between communities was estimate using the Jaccard index in mothur.”
A Phylogenomic View of Ecological Specialization in the Lachnospiraceae, a Family of Digestive Tract-Associated Bacteria (2014, methodology): “Concordance between the 16S tree and concatenated alignment tree was tested using the subtree prune-and-regraft (SPR) distance with rSPR version 1.2.0 (Whidden et al. 2010) and the AU test in CONSEL version 0.20 (Shimodaira and Hasegawa 2001).”
ggVennDiagram: An Intuitive, Easy-to-Use, and Highly Customizable R Package to Generate Venn Diagram (2021, background): “…(Chen and Boutros, 2011), colorfulVennPlot (Noma and Manvae, 2013), venn (Dusa, 2020), nVennR (Quesada, 2021), eulerr (Larsson, 2020), venneuler (Wilkinson, 2011), RVenn (Akyol, 2019), and gplots (Warnes et al., 2020), to name a few (see Table 1 for a feature comparison of these packages).”
Balance between community assembly processes mediates species coexistence in agricultural soil microbiomes across eastern China (2019, unknown): “[78], “ggplot2” [58], “spaa” [68], “picante” [79], “automap” [75], “relaimpo” [76], and “gplots” [80] packages.”
A proteomic atlas of senescence-associated secretomes for aging biomarker development (2019, background): “2 function in the ‘gplots’ package 610 [74].”
Co-occurrence of resistance genes to antibiotics, biocides and metals reveals novel insights into their co-selection potential (2015, methodology): “org/) [25] using the package gplots [26] to show the co-occurrence patterns between BMRGs and ARGs that most frequently occur together in bacterial strains and only on plasmids.”
3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data (2017, unknown): “2” function within the R gplot package.(36) Starting with our primary dataset (including the inclusion/exclusion criteria for patient-admissions and time points used for the imputation experiments), we aligned sets of test results performed concurrently on each patient with the most recent prior set”
A benchmark of gene expression tissue-specificity metrics (2015, background): “1 (R Core Team 2015), with the gplots (Warnes et al. 2015), reldist (Handcock & Morris 1999; Handcock 2015), VennDiagram (Chen 2015) and preprocessCore libraries (Bolstad); the R script is available in Supplementary Materials.”