3 citations · 4 across the 5 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
stat.AP2021
A Comparison of Bayesian Inference Techniques for Sparse Factor Analysis
Yong See Foo, Heejung Shim
Dimension reduction algorithms aim to discover latent variables which describe underlying structures in high-dimensional data. Methods such as factor analysis and principal compone…
stat.ME2021★ 1 cited
Multi-scale Poisson process approaches for differential expression analysis of high-throughput sequencing data
Heejung Shim, Zhengrong Xing, Ester Pantaleo +3
Estimating and testing for differences in molecular phenotypes (e.g. gene expression, chromatin accessibility, transcription factor binding) across conditions is an important part…