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2020 – today
- 2024
[j12]Thi-Hau Nguyen, Ha-Nam Nguyen, Trung-Nghia Vu
:
CircNetVis: an interactive web application for visualizing interaction networks of circular RNAs. BMC Bioinform. 25(1): 31 (2024)- 2023
- [j11]Tian Mou, Jianwen Liang, Trung-Nghia Vu, Mu Tian, Yi Gao:
A Comprehensive Landscape of Imaging Feature-Associated RNA Expression Profiles in Human Breast Tissue. Sensors 23(3): 1432 (2023) - [c4]Viet Phuong Hoang, Quang Thinh Trac, Ha-Nam Nguyen, Trung-Nghia Vu:
Analysis of Mutant-Allele Isoform Expression of TP53 in Breast Cancer. KSE 2023: 1-4 - 2022
- [j10]Lu Pan, Huy Q. Dinh, Yudi Pawitan, Trung-Nghia Vu:
Isoform-level quantification for single-cell RNA sequencing. Bioinform. 38(5): 1287-1294 (2022) - 2021
- [j9]Dat Thanh Nguyen, Quang Thinh Trac, Thi-Hau Nguyen, Ha-Nam Nguyen, Nir Ohad, Yudi Pawitan, Trung-Nghia Vu:
Circall: fast and accurate methodology for discovery of circular RNAs from paired-end RNA-sequencing data. BMC Bioinform. 22(1): 495 (2021) - 2020
- [j8]Wenjiang Deng, Tian Mou, Krishna R. Kalari, Nifang Niu, Liewei Wang, Yudi Pawitan, Trung-Nghia Vu:
Alternating EM algorithm for a bilinear model in isoform quantification from RNA-seq data. Bioinform. 36(3): 805-812 (2020)
2010 – 2019
- 2019
- [j7]Trung-Nghia Vu, Ha-Nam Nguyen, Stefano Calza, Krishna R. Kalari, Liewei Wang, Yudi Pawitan:
Cell-level somatic mutation detection from single-cell RNA sequencing. Bioinform. 35(22): 4679-4687 (2019) - 2018
- [j6]Trung-Nghia Vu, Quin F. Wills, Krishna R. Kalari, Nifang Niu, Liewei Wang, Yudi Pawitan, Mattias Rantalainen:
Isoform-level gene expression patterns in single-cell RNA-sequencing data. Bioinform. 34(14): 2392-2400 (2018) - [j5]Charlie Beirnaert, Pieter Meysman, Trung-Nghia Vu, Nina Hermans, Sandra Apers, Luc Pieters, Adrian Covaci, Kris Laukens:
speaq 2.0: A complete workflow for high-throughput 1D NMR spectra processing and quantification. PLoS Comput. Biol. 14(3) (2018) - 2016
- [j4]Trung-Nghia Vu, Quin F. Wills, Krishna R. Kalari, Nifang Niu, Liewei Wang, Mattias Rantalainen, Yudi Pawitan:
Beta-Poisson model for single-cell RNA-seq data analyses. Bioinform. 32(14): 2128-2135 (2016) - 2015
- [j3]Stefan Naulaerts, Pieter Meysman, Wout Bittremieux, Trung-Nghia Vu, Wim Vanden Berghe, Bart Goethals, Kris Laukens:
A primer to frequent itemset mining for bioinformatics. Briefings Bioinform. 16(2): 216-231 (2015) - 2014
- [b1]Trung-Nghia Vu:
Intelligent analysis and data mining of spectral data in proteomics ans metabolomics. University of Antwerp, Belgium, 2014 - 2012
- [c3]Dong Do Duc, Tri-Thanh Le, Trung-Nghia Vu, Huy Q. Dinh, Hoang Xuan Huan:
GA_SVM: A Genetic Algorithm for Improving Gene Regulatory Activity Prediction. RIVF 2012: 1-4 - 2011
- [j2]Trung-Nghia Vu, Dirk Valkenborg, Koen Smets, Kim A. Verwaest, Roger Dommisse, Filip Lemière, Alain Verschoren, Bart Goethals, Kris Laukens:
An integrated workflow for robust alignment and simplified quantitative analysis of NMR spectrometry data. BMC Bioinform. 12: 405 (2011)
2000 – 2009
- 2009
- [j1]Trung-Nghia Vu, Syng-Yup Ohn:
A Filter Method for Feature Selection for SELDI-TOF Mass Spectrum. IEICE Trans. Inf. Syst. 92-D(2): 346-348 (2009) - 2008
- [c2]Trung-Nghia Vu, Syng-Yup Ohn, Chul-Woo Kim:
RISC: A New Filter Approach for Feature Selection from Proteomic Data. ICMB 2008: 17-24 - 2006
- [c1]Ha-Nam Nguyen, Trung-Nghia Vu, Syng-Yup Ohn, Young-Mee Park, Mi Young Han, Chul-Woo Kim:
Feature Elimination Approach Based on Random Forest for Cancer Diagnosis. MICAI 2006: 532-542
Coauthor Index
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