Rafael Henkin

@pilarcacheiro @_katriona @thebarneslab Thanks Pilar!

@rafaelhenkin @_katriona @thebarneslab Nicely done! Congrats Rafael, Katriona et al.

🎉⚙️ I'm very happy to publish shinyExprPortal w/ @_katriona, Myles Lewis and @thebarneslab : a #bioinformatics #shiny #R package to share results of omics projects: doi.org/10.1093/bioinf… Config file + expr matrix + measures/clinical = interactive data portal supplements!

@mjskay @gotdairyya @FrankElavsky @FisherDanyel @Dev_Lange @alexander_lex @miriah_meyer @Birdbassador from inside vis community. Shameless plug but also had some ideas about ppl following ggdist and others' footsteps: doi.org/10.2312/visgap…

@mjskay @gotdairyya @FrankElavsky @FisherDanyel @Dev_Lange @alexander_lex @miriah_meyer @Birdbassador barging in a little bit... I think there are researchers alternatives if you look at orgs like ropensci, but Q is who would be behind something like py/r/jsopenvis. Also seeing how/what people use in fields like bioinformatics, there's def a software development barrier to break

Some notes on reading "Troubling Collaboration," a viz paper by @gotdairyya , @Dev_Lange , @alexander_lex , @miriah_meyer , @Birdbassador. It's incredibly gratifying to see a paper that nails down issues that have troubled me for years. A thread ... vdl.sci.utah.edu/publications/2…

We're excited to partner with @benevolent_ai to revolutionize the treatment of inflammatory diseases using cutting-edge #AI. Join our team with this exciting new position tinyurl.com/mwnakhmb #DataScience #Healthcare #BenevolentAI

Just published in JOSS: 'dtrackr: An R package for tracking the provenance of data' doi.org/10.21105/joss.…

A landmark paper. RA-MAP Scientific Data - the most complete immunological profile in early rheumatoid arthritis to date @RTCure_eu @Racegbn @ProfJohnIsaacs @thebarneslab @imidbio nature.com/articles/s4159…

After years of internal research, we've concluded that the problem with rainbow color palettes is that they do not have *enough* breaks. Introducing Blingbow🌈, the new default for all imagery everywhere. Installable via NetCDF only (available soon). #maps #gis #design #dataviz

The app can be run locally or on a Shiny server. Load a dataset, test configurations and check different outputs. Documentation includes quick guide to help document workflow in R Markdown rhenkin.github.io/visxhclust/art… #RStats

🎉 Happy to get this out there! A new Shiny app to quickly explore hierarchical clustering by changing features, settings and annotations, evaluating them and inspecting differences. Check with install.packages("visxhclust") or at github.com/rhenkin/visxhc… #RStats

For those of you who can't join us for the whole day, you can drop in to #TuringCovidConf via YouTube: youtu.be/K5Gj3mZpn5c The full programme is available: turing.ac.uk/CovidConference We now welcome our first keynote speaker, Professor David Spiegelhalter @d_spiegel.

And more examples with different parameter settings here: github.com/rhenkin/vfinpu… Also accepting suggestions, contributions and obviously bug reports and other issues!

Happy to get my first #RStats📦on CRAN: vfinputs, D3-powered interactive color legends for Shiny apps that allow for a single input coordinating continuous, discrete or categorical selections across multiple outputs. Basic usage here: rhenkin.shinyapps.io/vfinputs_examp… #dataviz

An Outsider’s Guide to the IEEE VIS Conference 2020 eagereyes.org/blog/2020/an-o…

when people provide descriptions vs. interpret descriptions. All data inc. responses and survey and Python analysis code here: github.com/nlvis/wecAnd and pre-print also here: arxiv.org/abs/1911.12793 #dataviz

We identify key themes in responses, and analyse how they vary across correlations; we also compare results with distributions of participants' choices in 2nd study of scatterplots mapped to textual descriptions. Findings incl. rich vocabulary and theme ambiguity across studies,

🎉New paper out with @cagatay_turkay, my last work as part of @giCentre, where we try to understand language in crowdsourced descriptions of scatterplots of diff levels of correlation, and how people interpret textual descriptions of same scatterplots; ieeexplore.ieee.org/document/91951…

@jsndyks this looks interesting