1 citations · 2 across the 3 of their papers we have counts for
4 papers
scICML: Information-theoretic Co-clustering-based Multi-view Learning for the Integrative Analysis of Single-cell Multi-omics data
Pengcheng Zeng, Zhixiang Lin
Modern high-throughput sequencing technologies have enabled us to profile multiple molecular modalities from the same single cell, providing unprecedented opportunities to assay ce…
Joint Curve Registration and Classification with Two-level Functional Models
Lin Tang, Pengcheng Zeng, Jian Qing Shi +1
Many classification techniques when the data are curves or functions have been recently proposed. However, the presence of misaligned problems in the curves can influence the perfo…
Elastic Coupled Co-clustering for Single-Cell Genomic Data
Pengcheng Zeng, Zhixiang Lin
The recent advances in single-cell technologies have enabled us to profile genomic features at unprecedented resolution and datasets from multiple domains are available, including…
Simultaneous Registration and Clustering for Multi-dimensional Functional Data
Pengcheng Zeng, Jian Qing Shi, Won-Seok Kim
The clustering for functional data with misaligned problems has drawn much attention in the last decade. Most methods do the clustering after those functional data being registered…