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avatar for Wenhan Chu

Wenhan Chu

Genome Institute of Singapore
ntcwh1991@gmail.com
Monday, June 27
 

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Genome-wide association analysis and post-analytic interrogation with R (Part 1) Wallenberg Hall 124 Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall

10:30am PDT

Genome-wide association analysis and post-analytic interrogation with R (Part 2) Wallenberg Hall 124 Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall

12:00pm PDT

Lunch Wallenberg Hall 124

1:00pm PDT

Missing Value Imputation with R (Part 1) Barnes Regression Modeling Strategies and the rms package (Part 1) Lyons & Lodato Understanding and creating interactive graphics (Part 1) McDowell & Cranston

2:30pm PDT

Missing Value Imputation with R (Part 2) Barnes Regression Modeling Strategies and the rms package (Part 2) Lyons & Lodato Understanding and creating interactive graphics (Part 2) McDowell & Cranston

4:00pm PDT

Short Break McCaw Hall

4:15pm PDT

What's up with the R consortium? McCaw Hall

4:40pm PDT

Presentation of the Women in R task force McCaw Hall
 
Tuesday, June 28
 

8:00am PDT

Registration check-in McCaw Hall

8:30am PDT

Opening Session McCaw Hall

9:00am PDT

Forty years of S McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

Wrapping Your R tools to Analyze National-Scale Cancer Genomics in the Cloud Lane & Lyons & Lodato

10:48am PDT

Two-sample testing in high dimensions Lane & Lyons & Lodato

11:06am PDT

R/qtl: Just Barely Sustainable Lane & Lyons & Lodato

11:24am PDT

Fry: A Fast Interactive Biological Pathway Miner Lane & Lyons & Lodato

11:42am PDT

Analysis of big biological sequence datasets using the DECIPHER package Lane & Lyons & Lodato

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm PDT

Group and sparse group partial least squares approaches applied in a genomics context Barnes & McDowell & Cranston

1:18pm PDT

Fast additive quantile regression in R Barnes & McDowell & Cranston

1:36pm PDT

bigKRLS: Optimizing non-parametric regression in R Barnes & McDowell & Cranston

1:54pm PDT

Statistics and R in Forensic Genetics McCaw Hall

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

shinyGEO: a web application for analyzing Gene Expression Omnibus (GEO) datasets using shiny Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:45pm PDT

How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston

5:03pm PDT

Inside the Rent Zestimates Barnes & McDowell & Cranston

5:21pm PDT

Data validation infrastructure: the validate package Barnes & McDowell & Cranston

5:39pm PDT

RServer: Operationalizing R at Electronic Arts Barnes & McDowell & Cranston

5:57pm PDT

Applying R in streaming and Business Intelligence applications Barnes & McDowell & Cranston

6:30pm PDT

Welcome Reception Bing Concert Hall
 
Wednesday, June 29
 

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

Predicting individual treatment effects Lane & Lyons & Lodato

10:48am PDT

Meta-Analysis of Epidemiological Dose-Response Studies with the dosresmeta R package Lane & Lyons & Lodato

11:06am PDT

An embedded domain-specific language for ODE-based drug-disease modeling and simulation Lane & Lyons & Lodato

11:24am PDT

Heatmaps in R: Overview and best practices Barnes & McDowell & Cranston The phangorn package: estimating and comparing phylogenetic trees Lane & Lyons & Lodato

11:42am PDT

Multivoxel Pattern Analysis of fMRI Data Lane & Lyons & Lodato Phylogenetically informed analysis of microbiome data using adaptive gPCA in R Barnes & McDowell & Cranston

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

R at Google Lane & Lyons & Lodato

1:20pm PDT

How Teradata Aster R Scales Data Science Lane & Lyons & Lodato

1:30pm PDT

Statistical Computing with R Lane & Lyons & Lodato

1:40pm PDT

Changing lives with Data Science at Microsoft Lane & Lyons & Lodato

1:55pm PDT

Bringing the Power of R to Citizen Data Scientists Lane & Lyons & Lodato

2:05pm PDT

Making the R community more open Lane & Lyons & Lodato

2:30pm PDT

Coffee Break with Poster Session McCaw Hall

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall
 
Thursday, June 30
 

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:00am PDT

Coffee Break w/ Poster Exhibits McCaw Hall

10:30am PDT

Shiny Gadgets: Interactive tools for Programming and Data Analysis McCaw Hall

10:48am PDT

Authoring Books with R Markdown McCaw Hall

11:06am PDT

Estimation of causal effects in network-dependent data McCaw Hall

11:24am PDT

DataSHIELD: Taking the analysis to the data McCaw Hall

11:42am PDT

Most Likely Transformations McCaw Hall

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato

1:20pm PDT

R for Big Data and Applications: Using R at Oracle Lane & Lyons & Lodato

1:35pm PDT

Scalable Machine Learning in R with H2O Lane & Lyons & Lodato

2:00pm PDT

RCloud - Collaborative Environment for Visualization and Big Data Analytics McCaw Hall

3:00pm PDT

Closing Remarks McCaw Hall