Name
Abstract | ||
|---|---|---|
Microbial interaction network is the foundation to understand the structure and function of microbial communities. However, there is currently less a comprehensive dataset of microbial interaction network. Using text mining technology, available microbial interaction knowledges could be extracted automatically from unstructured biomedical text data. However, the existing biomedical relation extrac... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/BIBM52615.2021.9669738 | 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) |
Keywords | DocType | ISBN |
Text mining,Microorganisms,Biological system modeling,Conferences,Computational modeling,Transfer learning,Standardization | Conference | 978-1-6654-0126-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xia Sun | 1 | 0 | 0.34 |
| Chengcheng Fu | 2 | 0 | 1.35 |
| Suoqi Liu | 3 | 0 | 0.34 |
| Wenjie Chen | 4 | 0 | 0.34 |
| Ran Zhong | 5 | 0 | 1.69 |
| Tingting He | 6 | 14 | 9.19 |
| Xingpeng Jiang | 7 | 34 | 20.30 |