Feature Elimination Approach Based on Random Forest for Cancer Diagnosis. - Ha-Nam Nguyen; Trung-Nghia Vu; Syng-Yup Ohn; Young-Mee Park; Mi Young Han; Chul-Woo Kim (MICAI, 2006)

RISC: A New Filter Approach for Feature Selection from Proteomic Data. - Trung-Nghia Vu; Syng-Yup Ohn; Chul-Woo Kim (ICMB, 2008)

A Filter Method for Feature Selection for SELDI-TOF Mass Spectrum. - Trung-Nghia Vu; Syng-Yup Ohn (IEICE Trans. Inf. Syst., 2009)

An integrated workflow for robust alignment and simplified quantitative analysis of NMR spectrometry data. - Trung-Nghia Vu; Dirk Valkenborg; Koen Smets; Kim A. Verwaest; Roger Dommisse; Filip Lemière; Alain Verschoren; Bart Goethals; Kris Laukens (BMC Bioinform., 2011)

GA_SVM: A Genetic Algorithm for Improving Gene Regulatory Activity Prediction. - Dong Do Duc; Tri-Thanh Le; Trung-Nghia Vu; Huy Q. Dinh; Hoang Xuan Huan (RIVF, 2012)

Intelligent analysis and data mining of spectral data in proteomics ans metabolomics - Trung-Nghia Vu (2014)

A primer to frequent itemset mining for bioinformatics. - Stefan Naulaerts; Pieter Meysman; Wout Bittremieux; Trung-Nghia Vu; Wim Vanden Berghe; Bart Goethals; Kris Laukens (Briefings Bioinform., 2015)

Beta-Poisson model for single-cell RNA-seq data analyses. - Trung-Nghia Vu; Quin F. Wills; Krishna R. Kalari; Nifang Niu; Liewei Wang; Mattias Rantalainen; Yudi Pawitan (Bioinform., 2016)

Isoform-level gene expression patterns in single-cell RNA-sequencing data. - Trung-Nghia Vu; Quin F. Wills; Krishna R. Kalari; Nifang Niu; Liewei Wang; Yudi Pawitan; Mattias Rantalainen (Bioinform., 2018)

speaq 2.0: A complete workflow for high-throughput 1D NMR spectra processing and quantification. - Charlie Beirnaert; Pieter Meysman; Trung-Nghia Vu; Nina Hermans; Sandra Apers; Luc Pieters; Adrian Covaci; Kris Laukens (PLoS Comput. Biol., 2018)

Cell-level somatic mutation detection from single-cell RNA sequencing. - Trung-Nghia Vu; Ha-Nam Nguyen; Stefano Calza; Krishna R. Kalari; Liewei Wang; Yudi Pawitan (Bioinform., 2019)

Alternating EM algorithm for a bilinear model in isoform quantification from RNA-seq data. - Wenjiang Deng; Tian Mou; Krishna R. Kalari; Nifang Niu; Liewei Wang; Yudi Pawitan; Trung-Nghia Vu (Bioinform., 2020)

Circall: fast and accurate methodology for discovery of circular RNAs from paired-end RNA-sequencing data. - Dat Thanh Nguyen; Quang Thinh Trac; Thi-Hau Nguyen; Ha-Nam Nguyen; Nir Ohad; Yudi Pawitan; Trung-Nghia Vu (BMC Bioinform., 2021)

Isoform-level quantification for single-cell RNA sequencing. - Lu Pan; Huy Q. Dinh; Yudi Pawitan; Trung-Nghia Vu (Bioinform., 2022)

Analysis of Mutant-Allele Isoform Expression of TP53 in Breast Cancer. - Viet Phuong Hoang; Quang Thinh Trac; Ha-Nam Nguyen; Trung-Nghia Vu (KSE, 2023)

A Comprehensive Landscape of Imaging Feature-Associated RNA Expression Profiles in Human Breast Tissue. - Tian Mou; Jianwen Liang; Trung-Nghia Vu; Mu Tian; Yi Gao 002 (Sensors, 2023)

CircNetVis: an interactive web application for visualizing interaction networks of circular RNAs. - Thi-Hau Nguyen; Ha-Nam Nguyen; Trung-Nghia Vu (BMC Bioinform., 2024)