Last updated: 2020-06-23

Checks: 2 0

Knit directory: rss/

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These are the previous versions of the repository in which changes were made to the R Markdown (rmd/news.Rmd) and HTML (docs/news.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.

File Version Author Date Message
Rmd 6485a10 Xiang Zhu 2020-06-23 wflow_publish(“rmd/news.Rmd”)

08/05/2020

Xiang presented RSS-NET at the 2020 JSM, Philadelphia, PA. [Slides] [Abstract]

04/28/2020

Xiang presented RSS-NET at the Department of Statistics, Stanford University, Stanford, CA. [Slides] [Abstract]

03/14/2020

Xiang posted RSS-NET on bioRxiv.

02/10/2020

Xiang presented RSS-NET at the Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA. [Slides]

01/23/2020

Xiang presented RSS-NET at the Department of Statistics, Pennsylvania State University, University Park, PA. [Slides] [Abstract]

01/15/2020

Xiang presented RSS-NET at the Statistics Department, Wharton School, University of Pennsylvania, Philadelphia, PA. [Slides] [Abstract]

03/27/2019

RSS-E was recommended in F1000Prime by F1000 Faculty Member Jason Flannick.

01/10/2019

The Research Computing Center at University of Chicago wrote an article on RSS likelihood and RSS-E.

10/19/2018

RSS-E was published in Nature Communications.

10/09/2018

Xiang presented RSS-E at the MVP/ERIC/Assimes Group Meeting, Stanford University, Stanford, CA. [Slides]

09/29/2018

RSS-E was accepted by Nature Communications.

07/16/2018

RSS-E was ranked as the Best BioRxiv Papers Today in Genomics by Assert.

10/19/2017

Xiang presented RSS-E at the 2017 ASHG, Orlando, FL.

10/05/2017

RSS likelihood was published in Annals of Applied Statistics.

08/03/2017

Xiang presented RSS-E at the 2017 JSM, Baltimore, MD. This work won an American Statistical Association student paper award. [Slides] [Abstract]

07/07/2017

Xiang posted RSS-E on bioRxiv.

06/30/2017

Xiang presented RSS likelihood and RSS-E at Dissertation Presentation and Defense, Department of Statistics, University of Chicago, Chicago, IL. [Slides] [Abstract]

06/28/2017

Xiang presented RSS-E at the 2017 ICSA Applied Statistics Symposium, Chicago, IL. [Slides]

05/02/2017

Xiang presented RSS-E at the Mind Bytes 2017, University of Chicago, Chicago, IL. This work won the Mind Bytes Award for Big-Data Research. [Poster] [Abstract]

04/04/2017

RSS likelihood was accepted by Annals of Applied Statistics.

02/22/2017

Xiang presented RSS likelihood at the Department of Statistics, Stanford University, Stanford, CA. [Slides] [Abstract]

01/11/2017

Xiang presented RSS-E at the Department of Human Genetics, University of Chicago, Chicago, IL. [Slides]

12/02/2016

Xiang presented RSS likelihood during a GWAS tutorial at the 2016 NHS Group Meeting, University of Chicago, Chicago, IL. [Slides]

10/20/2016

Xiang presented RSS-E at the 2016 ASHG, Vancouver, BC, Canada. [Poster] [Abstract]

08/23/2016

Dr. Stephen Hsu wrote a blog about RSS likelihood.

07/31/2016

Xiang presented RSS likelihood at the 2016 JSM, Chicago, IL. [Slides] [Abstract]

03/04/2016

Xiang posted RSS likelihood on bioRxiv.

03/04/2016

Xiang presented RSS-E at the 2016 NHS Group Meeting, University of Chicago, Chicago, IL. [Slides]

11/11/2015

Xiang presented RSS likelihood at the Dissertation Proposal Presentation, Department of Statistics, University of Chicago, Chicago, IL. [Abstract]

10/27/2015

Xiang presented RSS-E at the Mind Bytes 2015, University of Chicago, Chicago, IL. [Poster] [Abstract]

10/15/2015

Xiang presented RSS-E at the 2015 ProbGen, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY. [Poster]

10/09/2015

Xiang presented RSS likelihood at the 2015 ASHG, Baltimore, MD. [Poster] [Abstract]

05/05/2015

Xiang received the inaugural David Wallace Award for Applied Statistics for the work on RSS likelihood.

02/27/2015

Xiang presented RSS likelihood at the 2015 NHS Group Meeting, University of Chicago, Chicago, IL. [Slides]