Tin Nguyen
Cited by
Cited by
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ...
Nature communications 10 (1), 2674, 2019
Identifying significantly impacted pathways: a comprehensive review and assessment
TM Nguyen, A Shafi, T Nguyen, S Draghici
Genome biology 20 (1), 1-15, 2019
A novel approach for data integration and disease subtyping
T Nguyen, R Tagett, D Diaz, S Draghici
Genome research 27 (12), 2025-2039, 2017
A comprehensive survey of regulatory network inference methods using single cell RNA sequencing data
H Nguyen, D Tran, B Tran, B Pehlivan, T Nguyen
Briefings in bioinformatics 22 (3), bbaa190, 2021
PINSPlus: a tool for tumor subtype discovery in integrated genomic data
H Nguyen, S Shrestha, S Draghici, T Nguyen
Bioinformatics 35 (16), 2843-2846, 2019
Fast and precise single-cell data analysis using a hierarchical autoencoder
D Tran, H Nguyen, B Tran, C La Vecchia, HN Luu, T Nguyen
Nature communications 12 (1), 1029, 2021
A survey of the approaches for identifying differential methylation using bisulfite sequencing data
A Shafi, C Mitrea, T Nguyen, S Draghici
Briefings in bioinformatics 19 (5), 737-753, 2018
A comprehensive survey of tools and software for active subnetwork identification
H Nguyen, S Shrestha, D Tran, A Shafi, S Draghici, T Nguyen
Frontiers in genetics 10, 426749, 2019
Functional analysis tools for post‐translational modification: a post‐translational modification database for analysis of proteins and metabolic pathways
ER Cruz, H Nguyen, T Nguyen, IS Wallace
The Plant Journal 99 (5), 1003-1013, 2019
Network‐Based Approaches for Pathway Level Analysis
T Nguyen, C Mitrea, S Draghici
Current Protocols in Bioinformatics 61 (1), 8.25.1--8.25.24, 2018
A novel bi-level meta-analysis approach: applied to biological pathway analysis
T Nguyen, R Tagett, M Donato, C Mitrea, S Draghici
Bioinformatics 32 (3), 409-416, 2016
A multi-cohort and multi-omics meta-analysis framework to identify network-based gene signatures
A Shafi, T Nguyen, A Peyvandipour, H Nguyen, S Draghici
Frontiers in Genetics 10, 434647, 2019
Overcoming the matched-sample bottleneck: an orthogonal approach to integrate omic data
T Nguyen, D Diaz, R Tagett, S Draghici
Scientific Reports 6 (1), 29251, 2016
Provenance documentation to enable explainable and trustworthy AI: A literature review
A Kale, T Nguyen, FC Harris Jr, C Li, J Zhang, X Ma
Data Intelligence 5 (1), 139-162, 2023
DANUBE: Data-Driven Meta-ANalysis Using UnBiased Empirical Distributions—Applied to Biological Pathway Analysis
T Nguyen, C Mitrea, R Tagett, S Draghici
Proceedings of the IEEE, 2016
GSMA: an approach to identify robust global and test Gene Signatures using Meta-Analysis
A Shafi, T Nguyen, A Peyvandipour, S Draghici
Bioinformatics 36 (2), 487-495, 2020
Thioesterase enzyme families: Functions, structures, and mechanisms
BT Caswell, CC de Carvalho, H Nguyen, M Roy, T Nguyen, DC Cantu
Protein Science 31 (3), 652-676, 2022
CPA: a web-based platform for consensus pathway analysis and interactive visualization
H Nguyen, D Tran, JM Galazka, SV Costes, A Beheshti, J Petereit, ...
Nucleic Acids Research 49 (W1), W114-W124, 2021
Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data
J Tanevski, T Nguyen, B Truong, N Karaiskos, ME Ahsen, X Zhang, C Shu, ...
Life Science Alliance 3 (11), 2020
A comprehensive survey of the approaches for pathway analysis using multi-omics data integration
Z Maghsoudi, H Nguyen, A Tavakkoli, T Nguyen
Briefings in bioinformatics 23 (6), bbac435, 2022
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