Assistant Professor, Department of Computational Mathematics, Science and Engineering @michiganstateu | Research in the Junction of Statistics and Biology
Out today in @NatureBiotech! PhD students & postdocs: there's a trick – overlooked and underused – for having new ideas in the creative process. Talk science 1 on 1 with a science buddy that you trust and think of it as an improvisation. https://t.co/Xw7VpKHot2…
@MartinJLercher
My student Guan’ao Yan @GuanaoYan will present a poster about scReadSim at @cshlmeetings Genome Informatics meeting 2023. scReadSim tutorial: https://t.co/2U2YckHVTd Thanks @jxtxFoundation for the support!
Guan’ao Yan (@GuanaoYan, @UCLA) will present
⇒ scReadSim: a single-cell RNA-seq and ATAC-seq read simulator
⇒ Poster 174, Friday at 5:30
⇒ https://t.co/RsUzd20TQL #gi2023
I’m happy to announce that my former PhD student and postdoc Dr. Xinzhou (Shawn) Ge @ge_xinzhou will join the Department of Statistics at Oregon State University @OregonState as an Assistant Professor this fall. Xinzhou led our work on p-value-free FDR control. Congrats to him!
Many thanks for the CZI support. We welcome suggestions and collaborations to make our simulator & generative model scDesign3 useful for the burgeoning single-cell and spatial omics field https://t.co/JdAb1lEIK2 R package: https://t.co/PoWJygKRUp
Want to interpret the expression trend of a gene along cell pseudotime? We propose the *single-cell generalized trend model (scGTM)* to characterize a gene’s expression trend (along time/pseudotime) as increasing, decreasing, hill-shaped, & valley-shaped. https://t.co/NW3Jx86TVj
Delighted to announce that our project “Enhancing Rigor and Reliability of Single-Cell Data Science” is funded by CZI Data Insights. Hoping to make our tools useful for the community. https://t.co/hgY9tylPw1 @cziscience@ChanZuckerberg@UCLAnewsroom @uclastat @CompMedUCLA