Phi Bya
Research Assistant Professor
Department of Computer Science and Software Engineering, Auburn University
Education
Ph.D., Computer Science and Software Engineering
Auburn University
M.Sc., Computer Science and Engineering
University of Nevada, Reno
B. Eng., Information Systems
University of Information Technology, Vietnam National University
Latest
- AIPA
- CCPA: cloud-based, self-learning modules for consensus pathway analysis using GO, KEGG and Reactome
- RCPA
- RCPA: An Open-Source R Package for Data Processing, Differential Analysis, Consensus Pathway Analysis, and Visualization
- DeconBenchmark
- Fourteen years of cellular deconvolution: methodology, applications, technical evaluation and outstanding challenges
- Acyltransferase families that act on thioesters: Sequences, structures, and mechanisms
- 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