Last updated: 2022-08-29
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Knit directory: rss/
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
| Rmd | 1116f64 | Xiang Zhu | 2022-08-29 | wflow_publish("rmd/news.Rmd") |
| html | bc547cf | Xiang Zhu | 2022-08-29 | Build site. |
| Rmd | 6cba980 | Xiang Zhu | 2022-08-29 | update news |
| Rmd | 6c18e12 | Xiang Zhu | 2022-05-05 | update news |
| Rmd | 4696557 | Xiang Zhu | 2022-03-31 | rename nhs to pcb |
| html | 8d749ff | Xiang Zhu | 2022-01-24 | Build site. |
| Rmd | f3d289f | Xiang Zhu | 2022-01-24 | wflow_publish("rmd/news.Rmd") |
| html | 412881d | xiangzhu | 2021-06-07 | Build site. |
| Rmd | d4400e9 | xiangzhu | 2021-06-07 | wflow_publish("rmd/news.Rmd") |
| html | 4c4b855 | xiangzhu | 2021-06-07 | Build site. |
| Rmd | 73865ec | xiangzhu | 2021-06-07 | wflow_publish("rmd/news.Rmd") |
| html | 8895c9d | Xiang Zhu | 2021-03-04 | Build site. |
| Rmd | 293645c | Xiang Zhu | 2021-03-04 | wflow_publish("rmd/news.Rmd") |
| html | cc89734 | Xiang Zhu | 2020-06-24 | Build site. |
| Rmd | 97b9b7f | Xiang Zhu | 2020-06-24 | wflow_publish("rmd/news.Rmd") |
| html | bab3f58 | Xiang Zhu | 2020-06-24 | Build site. |
| html | d8bfc6c | Xiang Zhu | 2020-06-23 | Build site. |
| Rmd | 6485a10 | Xiang Zhu | 2020-06-23 | wflow_publish("rmd/news.Rmd") |
08/19/2022: Xiang extended RSS-NET to analyze sequence-conserved enhancer-like elements. This extension was posted on bioRxiv.
08/04/2022: Xiang applied RSS-NET to identify relevant tissues and cell types for five lipid traits based on the latest GWAS results from GLGC. This application was published in American Journal of Human Genetics.
08/01/2022: Xiang applied RSS-E to prioritize pathways and genes for coronary artery disease based on the latest GWAS results from MVP. This application was published in Nature Medicine.
05/18/2022: Xiang received the Penn State Consortium on Substance Use and Addiction Seed Grant as the Lead PI to incorporate single-cell genomics and multi-ancestry GWAS into the RSS likelihood framework, with a special focus on genetics of substance use traits in diverse human populations.
03/30/2022: Xiang received the Penn State Institute for Computational and Data Sciences Seed Grant as the Lead PI to incorporate single-cell genomics and multi-ancestry GWAS into the RSS likelihood framework, with a special focus on genetics of cardiometabolic diseases in diverse human populations. Penn State Today published a press release.
05/02/2022: Xiang presented RSS-NET at the Department of Statistics, University of Missouri, Columbia, MO.
01/04/2022: Xiang extended RSS-NET to analyze regulatory networks derived from H3K27ac HiChIP experiments. This extension was published in Proceedings of the National Academy of Sciences.
06/29/2021: Xiang presented RSS-NET at the 2021 Virtual ISBA World Meeting.
05/14/2021: RSS-NET was published in Nature Communications.
05/07/2021: Xiang presented RSS-NET at the Program in Computational Biology Seminar, University of Chicago, Chicago, IL.
04/15/2021: Xiang presented RSS-NET at the Division of Biostatistics and Bioinformatics, Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA.
04/14/2021: Xiang presented RSS-NET at the 2021 Virtual CSHL Probabilistic Modeling in Genomics Meeting.
03/03/2021: RSS-NET was accepted by Nature Communications.
11/04/2020: Xiang presented RSS-NET at the 2020 Virtual CSHL Biological Data Science Meeting.
08/05/2020: Xiang presented RSS-NET at the 2020 Virtual JSM.
04/28/2020: Xiang presented RSS-NET at the Department of Statistics, Stanford University, Stanford, CA.
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.
01/23/2020: Xiang presented RSS-NET at the Department of Statistics and Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA.
01/15/2020: Xiang presented RSS-NET at the Department of Statistics, Wharton School, University of Pennsylvania, Philadelphia, PA.
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.
09/29/2018: RSS-E was accepted by Nature Communications.
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.
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.
06/28/2017: Xiang presented RSS-E at the 2017 ICSA Applied Statistics Symposium, Chicago, IL.
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.
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.
01/11/2017: Xiang presented RSS-E at the Department of Human Genetics, University of Chicago, Chicago, IL.
12/02/2016: Xiang presented RSS likelihood as part of a GWAS tutorial at the Program in Computational Biology Seminar, University of Chicago, Chicago, IL.
10/20/2016: Xiang presented RSS-E at the 2016 ASHG, Vancouver, BC, Canada.
08/23/2016: Stephen Hsu wrote a blog about RSS likelihood.
07/31/2016: Xiang presented RSS likelihood at the 2016 JSM, Chicago, IL.
03/04/2016: Xiang posted RSS likelihood on bioRxiv.
03/04/2016: Xiang presented RSS-E at the Program in Computational Biology Seminar, University of Chicago, Chicago, IL.
11/11/2015: Xiang presented RSS likelihood at the Dissertation Proposal Presentation, Department of Statistics, University of Chicago, Chicago, IL.
10/27/2015: Xiang presented RSS-E at the Mind Bytes 2015, University of Chicago, Chicago, IL.
10/15/2015: Xiang presented RSS-E at the 2015 ProbGen, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY.
10/09/2015: Xiang presented RSS likelihood at the 2015 ASHG, Baltimore, MD.
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 Program in Computational Biology Seminar, University of Chicago, Chicago, IL.