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useR!2017

Marc Teunis

Hogeschool Utrecht
Docent/onderzoeker Innovative Testing in Life Science & Chemistry
Marc Teunis

github.com/uashogeschoolutrecht/surfR

Immunology, Data Analytics, Statistics, R programming, reproducible research, cloud computing, teaching programming and bioinformatics, Open Science, FAIR, In vitro methods

8:00am

REGISTRATION Wild Gallery

9:30am

Dose-response analysis using R 4.02

11:30am

Data Carpentry: Open and Reproducible Research with R 2.02

2:00pm

Efficient R Programming PLENARY

4:00pm

Efficient R Programming PLENARY R package development with R-hub 2.02

9:00am

WELCOME PLENARY

9:15am

Sponsor Talk Microsoft PLENARY

9:30am

KEYNOTE: Structural Equation Modeling: models, software and stories PLENARY

10:30am

COFFEE BREAK CATERING POINTS

11:00am

Transformation Forests 2.02

11:18am

When is an Outlier an Outlier? The O3 plot PLENARY

11:36am

Interacting with databases from Shiny 4.02

11:54am

metawRite: Review, write and update meta-analysis results 3.01 RL10N: Translating Error Messages & Warnings 3.02

12:12pm

**addhaz**: Contribution of chronic diseases to the disability burden in *R* 3.01 Maps are data, so why plot data on a map? PLENARY

12:30pm

LUNCH CATERING POINTS

1:30pm

Text mining, the tidy way 4.02

1:48pm

We R a Community-making high quality courses for high education accessible for all:The eR-Biostat initiative PLENARY

2:06pm

Rc$^2$: an Environment for Running R and Spark in Docker Containers 3.02

2:24pm

Implementing Predictive Analytics projects in corporate environments 2.02

2:42pm

We R What We Ask: The Landscape of R Users on Stack Overflow PLENARY

3:00pm

COFFEE BREAK CATERING POINTS

3:30pm

Sponsor Talk Data Camp PLENARY

3:45pm

KEYNOTE: Teaching data science to new useRs PLENARY

4:45pm

COFFEE BREAK CATERING POINTS

5:00pm

Navigating the R package universe PLENARY

6:30pm

Poster Reception CATERING POINTS

9:15am

Sponsor Talk Open Analytics PLENARY

9:30am

KEYNOTE: Dose-response analysis: considering dose both as qualitative factor and quantitative covariate- using R* PLENARY

10:30am

COFFEE BREAK CATERING POINTS

11:00am

Show Me Your Model: tools for visualisation of statistical models PLENARY

11:18am

Differentiation of brain tumor tissue using hierarchical non-negative matrix factorization 2.01

11:36am

Biosignature-Based Drug Design: from high dimensional data to business impact 2.01 Scraping data with rvest and purrr 4.02

11:54am

Interactive and Reproducible Research for RNA Sequencing Analysis 2.01 jug: Building Web APIs for R 4.02

12:12pm

Automatically archiving reproducible studies with Docker 2.02 FFTrees: An R package to create, visualise and use fast and frugal decision trees PLENARY

12:30pm

LUNCH CATERING POINTS

1:30pm

ReinforcementLearning: A package for replicating human behavior in R 3.02

1:48pm

Data Carpentry: Teaching Reproducible Data Driven Discovery PLENARY

2:06pm

Statistics in Action with R: an educative platform PLENARY

2:24pm

Computer Vision and Image Recognition algorithms for R users 3.02

2:42pm

The analysis of R learning styles with R PLENARY

3:30pm

Sponsor Talk Rstudio PLENARY

3:45pm

KEYNOTE: Parallel Computation in R: What We Want, and How We (Might) Get It PLENARY

5:30pm

DNA methylation-based classification of human central nervous system tumors 4.01

5:40pm

Use of templates within an R package to create a (semi-)automated analysis workflow and/or report 2.02

5:45pm

graphiT: an interactive, user-friendly tool to produce graphics based on the grammar of graphics' principles 2.02 R in a Pharmaceutical Company 4.02

5:50pm

**heatmaply**: an *R* package for creating interactive cluster heatmaps 2.02 Application of R and Shiny in multiomics understanding of blood cancer biology and drug response 4.01

5:55pm

Plot Colour Helper – Finally an easy way to pick colours for your R plots! 2.02 R.gov: making R work for government 3.02

6:10pm

Object-oriented markdown in R to facilitate collaboration 2.02 Shiny Apps for Maths and Stats Exercises 3.02

6:15pm

Strategies for Reproducible Research with Packrat 2.02

6:30pm

Buses Wild Gallery

7:00pm

Dinner BRUSSELS EXPO

9:15am

Sponsor Talk Rconsortium PLENARY

9:30am

KEYNOTE: R tools for the analysis of complex heterogeneous data PLENARY

10:30am

COFFEE BREAK CATERING POINTS

11:18am

Morphological Analysis with R 3.01

11:54am

How to deal with Missing Data in Time Series and the imputeTS package 2.01

12:12pm

LUNCH CATERING POINTS

1:15pm

KEYNOTE: 20 years of CRAN PLENARY

2:15pm

CLOSING Wild Gallery