Trung-Nghia Vu

18 papers Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
STsim: An Efficient Diffusion-Based Model for Generating Spot Images from Gene Expression in Spatial Transcriptomics.
BIBM
Pengyu Sun, Thi An Le, Xinzhen Yu, Yi Gao, Ha-Nam Nguyen, Thi-Hau Nguyen, Trung-Nghia Vu, Tian Mou
2024 J jnl
CircNetVis: an interactive web application for visualizing interaction networks of circular RNAs.
BMC Bioinform.
Thi-Hau Nguyen, Ha-Nam Nguyen, Trung-Nghia Vu
2023 J jnl
A Comprehensive Landscape of Imaging Feature-Associated RNA Expression Profiles in Human Breast Tissue.
Sensors
Tian Mou, Jianwen Liang, Trung-Nghia Vu, Mu Tian, Yi Gao
2023 — conf
Analysis of Mutant-Allele Isoform Expression of TP53 in Breast Cancer.
KSE
Viet Phuong Hoang, Quang Thinh Trac, Ha-Nam Nguyen, Trung-Nghia Vu
2022 J jnl
Isoform-level quantification for single-cell RNA sequencing.
Bioinform.
Lu Pan, Huy Q. Dinh, Yudi Pawitan, Trung-Nghia Vu
2021 J jnl
Circall: fast and accurate methodology for discovery of circular RNAs from paired-end RNA-sequencing data.
BMC Bioinform.
Dat Thanh Nguyen, Quang Thinh Trac, Thi-Hau Nguyen, Ha-Nam Nguyen, Nir Ohad, Yudi Pawitan, Trung-Nghia Vu
2020 J jnl
Alternating EM algorithm for a bilinear model in isoform quantification from RNA-seq data.
Bioinform.
Wenjiang Deng, Tian Mou, Krishna R. Kalari, Nifang Niu, Liewei Wang, Yudi Pawitan, Trung-Nghia Vu
2019 J jnl
Cell-level somatic mutation detection from single-cell RNA sequencing.
Bioinform.
Trung-Nghia Vu, Ha-Nam Nguyen, Stefano Calza, Krishna R. Kalari, Liewei Wang, Yudi Pawitan
2018 J jnl
Isoform-level gene expression patterns in single-cell RNA-sequencing data.
Bioinform.
Trung-Nghia Vu, Quin F. Wills, Krishna R. Kalari, Nifang Niu, Liewei Wang, Yudi Pawitan, Mattias Rantalainen
2018 J jnl
speaq 2.0: A complete workflow for high-throughput 1D NMR spectra processing and quantification.
PLoS Comput. Biol.
Charlie Beirnaert, Pieter Meysman, Trung-Nghia Vu, Nina Hermans, Sandra Apers, Luc Pieters, Adrian Covaci, Kris Laukens
2016 J jnl
Beta-Poisson model for single-cell RNA-seq data analyses.
Bioinform.
Trung-Nghia Vu, Quin F. Wills, Krishna R. Kalari, Nifang Niu, Liewei Wang, Mattias Rantalainen, Yudi Pawitan
2015 J jnl
A primer to frequent itemset mining for bioinformatics.
Briefings Bioinform.
Stefan Naulaerts, Pieter Meysman, Wout Bittremieux, Trung-Nghia Vu, Wim Vanden Berghe, Bart Goethals, Kris Laukens
2014 — —
Intelligent analysis and data mining of spectral data in proteomics ans metabolomics
Trung-Nghia Vu
2012 — conf
GA_SVM: A Genetic Algorithm for Improving Gene Regulatory Activity Prediction.
RIVF
Dong Do Duc, Tri-Thanh Le, Trung-Nghia Vu, Huy Q. Dinh, Hoang Xuan Huan
2011 J jnl
An integrated workflow for robust alignment and simplified quantitative analysis of NMR spectrometry data.
BMC Bioinform.
Trung-Nghia Vu, Dirk Valkenborg, Koen Smets, Kim A. Verwaest, Roger Dommisse, Filip Lemière, Alain Verschoren, Bart Goethals, Kris Laukens
2009 J jnl
A Filter Method for Feature Selection for SELDI-TOF Mass Spectrum.
IEICE Trans. Inf. Syst.
Trung-Nghia Vu, Syng-Yup Ohn
2008 — conf
RISC: A New Filter Approach for Feature Selection from Proteomic Data.
ICMB
Trung-Nghia Vu, Syng-Yup Ohn, Chul-Woo Kim
2006 — conf
Feature Elimination Approach Based on Random Forest for Cancer Diagnosis.
MICAI
Ha-Nam Nguyen, Trung-Nghia Vu, Syng-Yup Ohn, Young-Mee Park, Mi Young Han, Chul-Woo Kim