
Wei Vivian Li
@vivianstats
Assistant Professor of Statistics (UC Riverside); PhD in Statistics (UC Los Angeles); Research interests: Statistics & Genomics
ID: 1000209209558843392
http://vivianli.org 26-05-2018 02:57:13
32 Tweet
252 Takipçi
161 Takip Edilen

Very excited! Looking forward to joining Rutgers SPH.




Our work is finally out Genome Research! Our computational and experimental analyses consistently show the high precision of AIDE to reconstruct full-length mRNA isoforms. I'd like to say THANK YOU to my advisor Jingyi Jessica Li (李婧翌) and collaborators, Hubing Shi and Xin Tong. Rutgers SPH



🌍International students are integral members of our community, enhancing and enriching our learning environment by infusing global perspectives and knowledge into our classrooms. Rutgers SPH will continue to support, protect, and advocate for international students! #RUGlobal

scDesign2: from Tianyi Sun, Dongyuan Song, Wei Vivian Li, Jingyi Jessica Li (李婧翌), a simulator for single-cell RNA-seq data. It is trained on real data, and captures gene correlations present in the real data. It can vary cell number and sequencing depth. genomebiology.biomedcentral.com/articles/10.11…


Great opportunity to join our faculty as instructor or assistant professor of epidemiology! Rutgers SPH #epitwitter jobs.rutgers.edu/postings/134406


ruochenj, Wei Vivian Li and Jingyi Jessica Li (李婧翌) describe mbImpute, an imputation method designed for microbiome data that identifies and corrects the zeros that are unlikely biological in microbiome taxon count data bit.ly/3y73MMw





Feature selection benchmarking for scRNA-seq doi.org/10.1093/bib/bb… from Wei Vivian Li #genomics #singlecell . Scry (R package: doi.org/doi:10.18129/B… ) did pretty well!

I am super excited and honored to receive the R35 MIRA award, which will support our work on multi-scale analysis of single-cell transcriptomes. Thank you @NIGMS for this grant for early-stage investigators! Huge thanks to my mentors and colleagues at and outside of Rutgers SPH!

Qian, Wei Vivian Li & co present scINSIGHT, for modeling and interpreting single-cell RNA-seq data from biologically heterogeneous sources, allowing comparison between samples and conditions, based on joint matrix factorization. genomebiology.biomedcentral.com/articles/10.11…

