Zijie Zhao
@ZijieZhao1996
Followers
148
Following
102
Media
0
Statuses
12
PhD student in biomedical data science @UWMadison. Interested in statistical genetics, genetic risk prediction, polygenic risk score.
madison, WI
Joined January 2017
RT @jasonmfletcher: @Q_StatGen, @yy_stat @ZijieZhao1996 and I show that sibling relative rank shapes associations between PGS and education….
0
6
0
RT @Q_StatGen: You'll want to check out @Jiacheng_Miao's new paper if your work involves gene-environment interaction. This is our best GxE….
0
29
0
Very excited to share our recent work! PUMA-CUBS can fine-tune, benchmark, and do ensemble learning for various PRS methods using just one GWAS sumstats. Come by poster 3346 today #ASHG22 to see more details about our method!.
Preprinted in time for #ASHG2022! Happy to share @ZijieZhao1996's new work. We present PUMA-CUBS which advances PRS benchmarking & optimization. We can now fine-tune any PRS models and even do ensemble learning to combine models using GWAS sumstats alone!
0
2
11
RT @Jiacheng_Miao: Extremely excited to see my (first first-author) paper now out @PNASNews! We develop a novel framework named QUAIL that….
0
9
0
RT @Q_StatGen: Excited to finally throw our hat in the ring. Here is our new method (named X-Wing) for cross-ancestry PRS. A key takeaway i….
0
29
0
RT @Q_StatGen: New preprint by MS student @JiawenChennn (now doing her PhD at UNC) 🍾 We built a tool (named ORIGAMI) to simulate offspring….
0
12
0
RT @yy_stat: Super excited to share our preprint on decomposing the direct and indirect genetic effects using only GWAS sumstats. A very fu….
0
1
0
RT @Q_StatGen: 🍾New preprint from us! We found it puzzling that rare and common variants do not affect the same genes in autism. In this pr….
0
19
0
RT @Q_StatGen: Celebrate Halloween with new preprint!🎃We introduce a new method to identify precise genome regions with local genetic corre….
0
10
0
Very excited to share our recent work in my VERY FIRST tweet! Lots of thanks to @Q_StatGen, there were tons of advising behind all the work. Try the package on your GWAS! Any feedback is welcome and we'll add more features soon.
Very, very pleased to share this new work from my lab with all of you. Parameter-tuning in polygenic scores has always been challenging in our field. We had this crazy idea about a year ago that maybe we can perform cross-validation on GWAS sumstats. Indeed we can! #ASHG19.
0
5
11