Publications by dgrapov
Multivariate Data Analysis and Visualization Through Network Mapping
Recently I had the pleasure of speaking about one of my favorite topics, Network Mapping. This is a continuation of a general theme I’ve previously discussed and involves the merger of statistical and multivariate data analysis results with a network. Over the past year I’ve been working on two major tools, DeviumWeb and MetaMapR, which aid ...
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PubChem 446220 = Yeyo
I just updated my R package, CTSgetR, for biological database translation using the Chemical Translation Service (CTS). While making code examples I came across some humorous chemical name synonyms for the molecule referenced in PubChem as CID = 446220. Below are a few examples, can you guess what this is? Badrock, Bazooka, Bernice, Berni...
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2014 UC Davis Proteomics Workshop
Recently I had the pleasure of teaching data analysis at the 2014 UC Davis Proteomics Workshop. This included a hands on lab for making gene ontology enrichment networks. You can check out my lecture and tutorial below or download all the material. Introduction Tutorial 2014 UC Davis Proteomics Workshop Dmitry Grapov is licensed under a Creati...
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2014 Metabolomic Data Analysis and Visualization Workshop and Tutorials
Recently I had the pleasure of teaching statistical and multivariate data analysis and visualization at the annual Summer Sessions in Metabolomics 2014, organized by the NIH West Coast Metabolomics Center. Similar to last year, I’ve posted all the content (lectures, labs and software) for any one to follow along with at their own pace. I also...
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dplyr Tutorial: verbs + split-apply-combine
At a recent Saint Louis R users meeting I had the pleasure of giving a basic introduction to the awesome dplyr R package. For me, data analysis ubiquitously involves splitting the data based on grouping variable and then applying some function to the subsets or what is termed split-apply-combine. Having personally recently incorporated dplyr into...
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dplyr Tutorial: verbs + split-apply
At a recent Saint Louis R users meeting I had the pleasure of giving a basic introduction to the awesome dplyr R package. For me, data analysis ubiquitously involves splitting the data based on grouping variable and then applying some function to the subsets or what is termed split-apply (typically split-lapply-apply). Having personally recently ...
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Metabolomics and Beyond: Challenges and Strategies for Next-gen Omic Analyses
Recently I had the pleasure of giving lecture for the Metabolomics Society on Challenges and Strategies for Next-gen Omic Analyses. You can check out all of my slides and video of the lecture below. Related To leave a comment for the author, please follow the link and comment on their blog: Creative Data Solutions » r-bloggers. R-bloggers.c...
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Data Analysis Workflow: ‘Omics style
Follow along with the presentation and recreate all the analysis results for yourself. Related To leave a comment for the author, please follow the link and comment on their blog: Creative Data Solutions » r-bloggers. R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if y...
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Network Visualization with Plotly and Shiny
In addition to their more common uses, networks can be used as powerful multivariate data visualizations and exploration tools. Networks not only provide mathematical representations of data but are also one of the few data visualization methods capable of easily displaying multivariate variable relationships. The process of network mapping i...
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Try’in to 3D network: Quest (shiny + plotly)
I have an unnatural obsession with 4-dimensional networks. It might have started with a dream, but VR might make it a reality one day. For now I will settle for 3D networks in Plotly. Presentation: R users group (more) More: networkly Related To leave a comment for the author, please follow the link and comment on their blog: r-blogge...
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