22 citations · 39 across the 5 of their papers we have counts for
5 papers
Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification
Wei Vivian Li, Xin Tong, Jingyi Jessica Li
Asymmetric binary classification problems, in which the type I and II errors have unequal severity, are ubiquitous in real-world applications. To handle such asymmetry, researchers…
Issues arising from benchmarking single-cell RNA sequencing imputation methods
Wei Vivian Li, Jingyi Jessica Li
On June 25th, 2018, Huang et al. published a computational method SAVER on Nature Methods for imputing dropout gene expression levels in single cell RNA sequencing (scRNA-seq) data…
Modeling and analysis of RNA-seq data: a review from a statistical perspective
Wei Vivian Li, Jingyi Jessica Li
Background: Since the invention of next-generation RNA sequencing (RNA-seq) technologies, they have become a powerful tool to study the presence and quantity of RNA molecules in bi…
MSIQ: Joint Modeling of Multiple RNA-seq Samples for Accurate Isoform Quantification
Wei Vivian Li, Anqi Zhao, Shihua Zhang +1
Next-generation RNA sequencing (RNA-seq) technology has been widely used to assess full-length RNA isoform abundance in a high-throughput manner. RNA-seq data offer insight into ge…
TROM: A Testing-based Method for Finding Transcriptomic Similarity of Biological Samples
Wei Vivian Li, Yiling Chen, Jingyi Jessica Li
Comparative transcriptomics has gained increasing popularity in genomic research thanks to the development of high-throughput technologies including microarray and next-generation…