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Tin Chi Nguyen
Person information
- affiliation: University of Nevada, Reno, USA
Other persons with the same name
- Tin Nguyen 0002 — South Westphalia University of Applied Sciences, Soest, Germany
- Tin Nguyen 0003 — Intel Corporation, Silicon Photonic Product Division, Santa Clara, CA, USA
- Tin Nguyen 0004 — Ryazan State Radio Engineering University, Russia
- Tin Nguyen 0005 — University of Maryland, MD, USA
- Tin Nguyen 0006 — Auburn University, AL, USA
- Tin Nguyen 0007 — HCM University of Technology, Vietnam
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2020 – today
- 2023
- [j11]Yifan Zhang, Duc Tran, Tin Nguyen, Sergiu M. Dascalu, Frederick C. Harris Jr.:
A robust and accurate single-cell data trajectory inference method using ensemble pseudotime. BMC Bioinform. 24(1): 55 (2023) - [j10]Amruta Kale, Tin Nguyen, Frederick C. Harris Jr., Chenhao Li, Jiyin Zhang, Xiaogang Ma:
Provenance documentation to enable explainable and trustworthy AI: A literature review. Data Intell. 5(1): 139-162 (2023) - 2022
- [j9]Zeynab Maghsoudi, Ha Nguyen, Alireza Tavakkoli, Tin Nguyen:
A comprehensive survey of the approaches for pathway analysis using multi-omics data integration. Briefings Bioinform. 23(6) (2022) - [j8]Quang-Huy Nguyen, Tin Nguyen, Duc-Hau Le:
DrGA: cancer driver gene analysis in a simpler manner. BMC Bioinform. 23(1): 86 (2022) - [c17]Duc Tran, Ha Nguyen, Hung Nguyen, Tin Nguyen:
DWEN: A novel method for accurate estimation of cell type compositions from bulk data samples. KSE 2022: 1-6 - [i3]Amira Alotaibi, Tarik Alafif, Faris Alkhilaiwi, Yasser Alatawi, Hassan Althobaiti, Abdulmajeed Alrefaei, Yousef M. Hawsawi, Tin Nguyen:
ViT-DeiT: An Ensemble Model for Breast Cancer Histopathological Images Classification. CoRR abs/2211.00749 (2022) - 2021
- [j7]Hung Nguyen, Duc Tran, Bang Tran, Bahadir Pehlivan, Tin Nguyen:
A comprehensive survey of regulatory network inference methods using single cell RNA sequencing data. Briefings Bioinform. 22(3) (2021) - [j6]Hung Nguyen, Duc Tran, Jonathan M. Galazka, Sylvain V. Costes, Afshin Beheshti, Juli Petereit, Sorin Draghici, Tin Nguyen:
CPA: a web-based platform for consensus pathway analysis and interactive visualization. Nucleic Acids Res. 49(Webserver-Issue): 114-124 (2021) - [c16]Duc Tran, Hung Nguyen, Frederick C. Harris Jr., Tin Nguyen:
Single-cell RNA sequencing data imputation using similarity preserving network. KSE 2021: 1-6 - [c15]Bang Tran, Quyen Nguyen, Sangam Shrestha, Tin Nguyen:
scIDS: Single-cell Imputation by combining Deep autoencoder neural networks and Subspace regression. KSE 2021: 1-8 - 2020
- [j5]Adib Shafi, Tin Nguyen, Azam Peyvandi-Pour, Sorin Draghici:
GSMA: an approach to identify robust global and test Gene Signatures using Meta-Analysis. Bioinform. 36(2): 487-495 (2020) - [c14]Quang Tran, Nam Sy Vo, Eric Hicks, Tin Chi Nguyen, Vinhthuy Phan:
Analysis of Short-read Aligners using Genome Sequence Complexity. KSE 2020: 312-317 - [c13]Hung Nguyen, Bang Tran, Duc Tran, Quang-Huy Nguyen, Duc-Hau Le, Tin Nguyen:
Disease subtyping using community detection from consensus networks. KSE 2020: 318-323 - [c12]Suzan Arslanturk, Sorin Draghici, Tin Nguyen:
Integrated Cancer Subtyping using Heterogeneous Genome-Scale Molecular Datasets. PSB 2020: 551-562
2010 – 2019
- 2019
- [j4]Hung Nguyen, Sangam Shrestha, Sorin Draghici, Tin Nguyen:
PINSPlus: a tool for tumor subtype discovery in integrated genomic data. Bioinform. 35(16): 2843-2846 (2019) - [c11]Hung Nguyen, Sushil J. Louis, Tin Nguyen:
MGKA: A genetic algorithm-based clustering technique for genomic data. CEC 2019: 103-110 - [c10]Bang Tran, Duc Tran, Hung Nguyen, Nam Sy Vo, Tin Nguyen:
RIA: a novel Regression-based Imputation Approach for single-cell RNA sequencing. KSE 2019: 1-9 - 2018
- [j3]Adib Shafi, Cristina Mitrea, Tin Chi Nguyen, Sorin Draghici:
A survey of the approaches for identifying differential methylation using bisulfite sequencing data. Briefings Bioinform. 19(5): 737-753 (2018) - [c9]Brian Marks, Nina Hees, Hung Nguyen, Tin Nguyen:
MIA: Multi-cohort Integrated Analysis for Biomarker Identification. BCB 2018: 360-365 - 2017
- [j2]Tin Chi Nguyen, Cristina Mitrea, Rebecca Tagett, Sorin Draghici:
DANUBE: Data-Driven Meta-ANalysis Using UnBiased Empirical Distributions - Applied to Biological Pathway Analysis. Proc. IEEE 105(3): 496-515 (2017) - [c8]Diana Diaz, Michele Donato, Tin Nguyen, Sorin Draghici:
MicroRNA-Augmented Pathways (mirAP) and Their Applications to Pathway Analysis and Disease Subtyping. PSB 2017: 390-401 - 2016
- [j1]Tin Chi Nguyen, Rebecca Tagett, Michele Donato, Cristina Mitrea, Sorin Draghici:
A novel bi-level meta-analysis approach: applied to biological pathway analysis. Bioinform. 32(3): 409-416 (2016) - [c7]Tin Chi Nguyen, Diana Diaz, Sorin Draghici:
TOMAS: A novel TOpology-aware Meta-Analysis approach applied to System biology. BCB 2016: 13-22 - [c6]Diana Diaz, Tin Chi Nguyen, Sorin Draghici:
A Systems Biology Approach for Unsupervised Clustering of High-Dimensional Data. MOD 2016: 193-203 - 2013
- [c5]Tin Chi Nguyen, Dongxiao Zhu:
MarkovBin: An Algorithm to Cluster Metagenomic Reads Using a Mixture Modeling of Hierarchical Distributions. BCB 2013: 115 - [i2]Tin Chi Nguyen, Zhiyu Zhao, Dongxiao Zhu:
SPATA: A Seeding and Patching Algorithm for Hybrid Transcriptome Assembly. CoRR abs/1306.1511 (2013) - 2012
- [c4]Thair Judeh, Tin Chi Nguyen, Dongxiao Zhu:
QSEA for fuzzy subgraph querying of KEGG pathways. BCB 2012: 474-481 - [i1]Tin Chi Nguyen, Nan Deng, Dongxiao Zhu:
SASeq: A Selective and Adaptive Shrinkage Approach to Detect and Quantify Active Transcripts using RNA-Seq. CoRR abs/1208.3619 (2012) - 2011
- [c3]Zhiyu Zhao, Tin Chi Nguyen, Nan Deng, Kristen Marie Johnson, Dongxiao Zhu:
SPATA: A seeding and patching algorithm for de novo transcriptome assembly. BIBM Workshops 2011: 26-33 - [c2]Tin Chi Nguyen, Nan Deng, Guorong Xu, Zhansheng Duan, Dongxiao Zhu:
iQuant: A fast yet accurate GUI tool for transcript quantification. BIBM Workshops 2011: 1048-1050 - [c1]Tin Chi Nguyen, Zhiyu Zhao, Dongxiao Zhu:
SPATA: A highly accurate GUI tool for de novo transcriptome assembly. BIBM Workshops 2011: 1051-1053
Coauthor Index
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