Hung’s research focuses on clustering and disease subtyping
Interests
- Clustering
- Disease Subtyping
Education
Ph.D., Computer Science, 2018- Current
University of Nevada, Reno
B.S., Computer Science
Latest
- DWEN: A novel method for accurate estimation of cell type compositions from bulk data samples
- The method scCAN is in the news of the Journal of Science and Development, Vietnamese Ministry of Science
- Mouse genomic associations with in vitro sensitivity to simulated space radiation
- Quantitative proteomic analytic approaches to identify metabolic changes in the medial prefrontal cortex of rats exposed to space radiation
- scCAN
- scCAN: single-cell clustering using autoencoder and network fusion
- A novel method for single-cell data imputation using subspace regression
- scISR
- Thioesterase enzyme families: Functions, structures, and mechanisms
- Thyme
- Single-cell RNA sequencing data imputation using similarity preserving network
- SMRT
- SMRT: Randomized Data Transformation for Cancer Subtyping and Big Data Analysis
- Cell-to-cell and type-to-type heterogeneity of signaling networks: insights from the crowd
- CPA
- CPA: a web-based platform for consensus pathway analysis and interactive visualization
- Single-Cell RNA Sequencing Data Imputation Using Deep Neural Network
- Fast and precise single-cell data analysis using a hierarchical autoencoder
- scDHA
- Disease subtyping using community detection from consensus networks
- Multi-Omics Analysis Detects Novel Prognostic Subgroups of Breast Cancer
- A comprehensive survey of regulatory network inference methods using single-cell RNA sequencing data
- PINSPlus
- A Novel Method for Cancer Subtyping and Risk Prediction Using Consensus Factor Analysis
- SCFA
- RIA: a novel Regression-based Imputation Approach for single-cell RNA sequencing
- MGKA: A genetic algorithm-based clustering technique for genomic data
- Functional analysis tools for post‐translational modification: a post‐translational modification database for analysis of proteins and metabolic pathways
- Statistical Software
- A comprehensive survey of tools and software for active subnetwork identification
- FAT-PTM
- A Multi-Cohort and Multi-Omics Meta-Analysis Framework to Identify Network-Based Gene Signatures
- MIA: Multi-cohort Integrated Analysis for Biomarker Identification
- PINSPlus: A tool for tumor subtype discovery in integrated genomic data