10 citations · 22 across the 6 of their papers we have counts for
7 papers
Extrinsic Principal Component Analysis
Ka Chun Wong, Vic Patrangenaru, Robert L. Paige +1
One develops a fast computational methodology for principal component analysis on manifolds. Instead of estimating intrinsic principal components on an object space with a Riemanni…
MDM: Molecular Diffusion Model for 3D Molecule Generation
Lei Huang, Hengtong Zhang, Tingyang Xu +1
Molecule generation, especially generating 3D molecular geometries from scratch (i.e., 3D \textit{de novo} generation), has become a fundamental task in drug designs. Existing diff…
A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection
Xubin Wang, Yunhe Wang, Ka-Chun Wong +1
Recently, many evolutionary computation methods have been developed to solve the feature selection problem. However, the studies focused mainly on small-scale issues, resulting in…
EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information
Lei Huang, Jiecong Lin, Xiangtao Li +2
The rapid growth in literature accumulates diverse and yet comprehensive biomedical knowledge hidden to be mined such as drug interactions. However, it is difficult to extract the…
Review of Single-cell RNA-seq Data Clustering for Cell Type Identification and Characterization
Shixiong Zhang, Xiangtao Li, Qiuzhen Lin +1
In recent years, the advances in single-cell RNA-seq techniques have enabled us to perform large-scale transcriptomic profiling at single-cell resolution in a high-throughput manne…
Context awareness and embedding for biomedical event extraction
Shankai Yan, Ka-Chun Wong
Motivation: Biomedical event detection is fundamental for information extraction in molecular biology and biomedical research. The detected events form the central basis for compre…