Author

Lizhen Lin

University of Notre DameORCID 0000-0002-7913-2780Unclaimed ORCID profile · follow to get notified of new preprints

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Lizhen Lin1 paper · University of Maryland, College Park

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:DNA methylation· 3 Research Focus:differential expression· 2 Approach:statistical model· 2 Organism:virus· 2 Approach:graph neural network· 1 Organism:multiple species· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Dong Quan Ngoc NguyeniD· 3 shared Phuong Dong Tan Le· 3 shared Lin Xing· 2 shared Ziqing HuiD· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 5 mutual co-author links

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3 shared papersGenomics

Dong Quan Ngoc NguyenORCID

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3 papers

Recent·Most cited

A topological characterization of DNA sequences based on chaos geometry and persistent homology

Dong Quan Ngoc Nguyen, Phuong Dong Tan Le, Lin Xing, Lizhen Lin

This paper introduces a topological method for DNA sequence analysis using persistent homology and chaos geometry, applied to Hantavirus, Influenza A, and Human Papillomavirus genomes.

International Conference on Computational Science and Computational Intelligence (CSCI) · Dec 1, 2022Peer-reviewedGenomics

A graph-theoretical approach to DNA similarity analysis

Dong Quan Ngoc Nguyen, Lin Xing, Phuong Dong Tan Le, Lizhen Lin

This paper introduces a graph-theoretical method for DNA similarity analysis, showing comparable accuracy and efficiency across multiple viral and mammalian datasets.

Communications in Information and Systems · Jan 1, 2022Peer-reviewedGenomics

A topological approach to DNA similarity analysis from 5-dimensional representation

Dong Quan Ngoc Nguyen, Phuong Dong Tan Le, Ziqing Hu, Lizhen Lin

The paper introduces a topological method for DNA similarity analysis using 5D vector representations and Wasserstein distance on zeroth persistence diagrams, tested on HRV and Influenza A virus datasets.

bioRxiv · Mar 10, 2021 · PreprintGenomics