53 citations · 172 across the 13 of their papers we have counts for
4 papers · 1 filter
AITom: Open-source AI platform for cryo-electron tomography data analysis
Xiangrui Zeng, Min Xu
Cryo-electron tomography (cryo-ET) is an emerging technology for the 3D visualization of structural organizations and interactions of subcellular components at near-native state an…
CS Sparse K-means: An Algorithm for Cluster-Specific Feature Selection in High-Dimensional Clustering
Xiangrui Zeng, Hongyu Zheng
Feature selection is an important and challenging task in high dimensional clustering. For example, in genomics, there may only be a small number of genes that are differentially e…
Simultaneous Estimation of Number of Clusters and Feature Sparsity in Clustering High-Dimensional Data
Yujia Li, Xiangrui Zeng, Chien-Wei Lin +1
Estimating the number of clusters (K) is a critical and often difficult task in cluster analysis. Many methods have been proposed to estimate K, including some top performers using…
Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography
Ziqian Luo, Xiangrui Zeng, Zhipeng Bao +1
Deep learning model trained by imbalanced data may not work satisfactorily since it could be determined by major classes and thus may ignore the classes with small amount of data.…