Fengzhu Sun
Affiliations: | University of Southern California, Los Angeles, CA, United States |
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"Fengzhu Sun"Cross-listing: Computational Biology Tree
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Publications
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| Hou S, Tang T, Cheng S, et al. (2024) DeepMicroClass sorts metagenomic contigs into prokaryotes, eukaryotes and viruses. Nar Genomics and Bioinformatics. 6: lqae044 |
| Ai D, Chen L, Xie J, et al. (2023) Identifying local associations in biological time series: algorithms, statistical significance, and applications. Briefings in Bioinformatics. 24 |
| Tang T, Hou S, Fuhrman JA, et al. (2022) Phage-bacterial contig association prediction with a convolutional neural network. Bioinformatics (Oxford, England). 38: i45-i52 |
| Pevzner P, Vingron M, Reidys C, et al. (2022) Michael Waterman's Contributions to Computational Biology and Bioinformatics. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology |
| Istrail S, Pevzner P, Sun F, et al. (2022) Special Issue: Professor Michael Waterman's 80th Birthday, Part 1. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology |
| Bai X, Ren J, Sun F. (2022) MLR-OOD: a Markov chain based Likelihood Ratio method for Out-Of-Distribution detection of genomic sequences. Journal of Molecular Biology. 167586 |
| Ren J, Song K, Deng C, et al. (2020) Identifying viruses from metagenomic data using deep learning. Quantitative Biology (Beijing, China). 8: 64-77 |
| Wang Y, Chen Q, Deng C, et al. (2020) KmerGO: A Tool to Identify Group-Specific Sequences With -mers. Frontiers in Microbiology. 11: 2067 |
| Lu YY, Bai J, Wang Y, et al. (2020) CRAFT: Compact genome Representation towards large-scale Alignment-Free daTabase. Bioinformatics (Oxford, England) |
| Wang Z, Wang Y, Fuhrman JA, et al. (2020) Corrigendum to: Assessment of metagenomic assemblers based on hybrid reads of real and simulated metagenomic sequences. Briefings in Bioinformatics |