| Discovery of antimicrobial peptides in the global microbiome with machine learning CD Santos-Júnior, MDT Torres, Y Duan, ÁR Del Río, TSB Schmidt, ... Cell 187 (14), 3761-3778. e16, 2024 | 88 | 2024 |
| Microbial dark matter: from discovery to applications Y Zha, H Chong, P Yang, K Ning Genomics, Proteomics & Bioinformatics 20 (5), 867-881, 2022 | 44 | 2022 |
| EXPERT: transfer learning-enabled context-aware microbial community classification H Chong, Y Zha, Q Yu, M Cheng, G Xiong, N Wang, X Huang, S Huang, ... Briefings in Bioinformatics 23 (6), bbac396, 2022 | 17* | 2022 |
| Ontology-aware deep learning enables ultrafast and interpretable source tracking among sub-million microbial community samples from hundreds of niches Y Zha, H Chong, H Qiu, K Kang, Y Dun, Z Chen, X Cui, K Ning Genome medicine 14 (1), 43, 2022 | 15 | 2022 |
| Computational exploration of the global microbiome for antibiotic discovery CD Santos-Júnior, MDT Torres, Y Duan, ÁR Del Río, TSB Schmidt, ... BioRxiv, 2023 | 12 | 2023 |
| Ontology-aware deep learning enables ultrafast, accurate and interpretable source tracking among sub-million microbial community samples from hundreds of niches Y Zha, H Chong, H Qiu, K Kang, Y Dun, Z Chen, X Cui, K Ning bioRxiv, 2020.11. 01.364208, 2020 | 8 | 2020 |
| Utilizing microbiome approaches to assist source tracking, treatment and prevention of COVID-19: Review and assessment M Han, Y Zha, H Chong, C Zhong, K Ning Computational and structural biotechnology journal 18, 3615-3622, 2020 | 8 | 2020 |
| Tracing human life trajectory using gut microbial communities by context-aware deep learning H Zhang, H Chong, Q Yu, Y Zha, M Cheng, K Ning Briefings in Bioinformatics 24 (1), bbac629, 2023 | 4 | 2023 |
| Reliable and interpretable mortality prediction with strong foresight in COVID-19 patients: an international study from China and Germany T Bai, X Zhu, X Zhou, D Grathwohl, P Yang, Y Zha, Y Jin, H Chong, Q Yu, ... Frontiers in Artificial Intelligence 4, 672050, 2021 | 4 | 2021 |
| Microbiome sample comparison and search: from pair-wise calculations to model-based matching Y Zha, H Chong, K Ning Frontiers in Microbiology 12, 642439, 2021 | 4 | 2021 |
| argNorm: Normalization of antibiotic resistance gene annotations to the Antibiotic Resistance Ontology (ARO) S Ugarcina Perovic, V Ramji, H Chong, Y Duan, F Maguire, LP Coelho | | 2024 |
| Challenges in metagenomic annotation of antibiotic resistome S Ugarcina Perovic, V Ramji, H Chong, Y Duan, R Gschwind, E Ruppe, ... 5th Belgrade Bioinformatics Conference, 31-31, 2024 | | 2024 |
| Meta-Prism 2.0: Enabling algorithm and web server for ultra-fast, memory-efficient, and accurate analysis among millions of microbial community samples K Kang, H Chong, K Ning GigaScience 11, giac073, 2022 | | 2022 |
| Meta-Prism 2.0: Enabling algorithm for ultra-fast, accurate and memory-efficient search among millions of microbial community samples K Kang, H Chong, K Ning bioRxiv, 2020.11. 17.387811, 2020 | | 2020 |
| Computational exploration of the global microbiome for antibiotic discovery Short title: Discovery of antimicrobials in the global microbiome by machine learning R del Río, TSB Schmidt, H Chong, A Fullam, M Kuhn, C Zhu, A Houseman, ... | | |
Kang NingSchool of Life Science and Technology, Huazhong University of Science and Technologyยืนยันอีเมลแล้วที่ hust.edu.cn