Wei Vivian Li

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 12

Top Topics

Experimental Design

Clustering Method

Gene Expression

Top Venues

Briefings Bioinform.

J. Comput. Biol.

Publications

Xinwei He, Kun Qian, Ziqian Wang, Shirou Zeng, Hongwei Li, Wei Vivian Li
scAce: an adaptive embedding and clustering method for single-cell gene expression data. Bioinform. 39 (9) (2023)
Jiayi Liu, Anat Kreimer, Wei Vivian Li
Differential variability analysis of single-cell gene expression data. Briefings Bioinform. 24 (5) (2023)
Andrew Cheng, Guanyu Hu, Wei Vivian Li
Benchmarking cell-type clustering methods for spatially resolved transcriptomics data. Briefings Bioinform. 24 (1) (2023)
Kun Qian, Shiwei Fu, Hongwei Li, Wei Vivian Li
A Novel Matrix Factorization Model for Interpreting Single-Cell Gene Expression from Biologically Heterogeneous Data. RECOMB (2022)
Tianyi Sun, Dongyuan Song, Wei Vivian Li, Jingyi Jessica Li
Simulating Single-Cell Gene Expression Count Data with Preserved Gene Correlations by scDesign2. J. Comput. Biol. 29 (1) (2022)
Kun Qian, Shiwei Fu, Hongwei Li, Wei Vivian Li
The scINSIGHT Package for Integrating Single-Cell RNA-Seq Data from Different Biological Conditions. J. Comput. Biol. 29 (11) (2022)
Jie Sheng, Wei Vivian Li
Selecting gene features for unsupervised analysis of single-cell gene expression data. Briefings Bioinform. 22 (6) (2021)
Wei Vivian Li, Yanzeng Li
scLink: Inferring Sparse Gene Co-expression Networks from Single-cell Expression Data. Genom. Proteom. Bioinform. 19 (3) (2021)
Wei Vivian Li, Xin Tong, Jingyi Jessica Li
Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification. CoRR (2020)
Wei Vivian Li, Jingyi Jessica Li
A statistical simulator scDesign for rational scRNA-seq experimental design. Bioinform. 35 (14) (2019)
Wei Vivian Li, Jingyi Jessica Li
Modeling and analysis of RNA-seq data: a review from a statistical perspective. Quant. Biol. 6 (3) (2018)
Wei Vivian Li, Zahra S. Razaee, Jingyi Jessica Li
Epigenome overlap measure (EPOM) for comparing tissue/cell types based on chromatin states. BMC Genom. 17 (S-1) (2016)