Author

Feijuan Huang

Shenzhen Technology University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:graph neural network· 1 Assay:protein structure· 1 Research Focus:sequence-to-function modeling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Yuanzhe Cai· 2 shared Bingding HuangiD· 1 shared Qingyang Lan· 1 shared Rui He· 1 shared Shibo Liang· 1 shared Xin WangiD· 1 shared Xu WangiD· 1 shared Yuchuan WangiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Yuanzhe Cai

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2 papers

Recent·Most cited

Kmer-Node2Vec: a Fast and Efficient Method for Kmer Embedding from the Kmer Co-occurrence Graph, with Applications to DNA Sequences

Zhaochong Yu, Zihang Yang, Qingyang Lan, Yuchuan Wang, Feijuan Huang, Yuanzhe Cai

The paper introduces Kmer-Node2Vec, a fast graph-based method for kmer embedding in DNA sequences, achieving faster training times than DNA2Vec while maintaining comparable accuracy.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · Jul 24, 2023Peer-reviewedBioinformatics

A benchmark study of protein folding algorithms on nanobodies

Shibo Liang, Ziquan Liang, Zecheng Wu, Feijuan Huang, Xu Wang, Zihao Tan, Rui He, Zeyi Lu, Yuanzhe Cai, Bingding Huang, Xin Wang

The paper benchmarks five deep-learning-based protein folding algorithms on nanobody sequences to compare their accuracy against experimental structures.

International Conference on Communications, Computing and Artificial Intelligence (CCCAI) · Jun 1, 2023Peer-reviewedBioinformatics