National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61532008]; National Key Research and Development Program of China [2017YFC0909502]; International Cooperation Project of Hubei Province [2014BHE0017]; Self-determined Research Funds of CCNU from the Colleges' Basic Research and Operation of MOE [CCNU17TS0003, CCNU16JYKX018]
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
There are intensive computational efforts to discover large-scale microbial interactions from metagenomic abundance data, however, it is often difficult to validate such inferred interactions without a manually curated dataset. There are also a number of small-scale microbial interactions reported in massive literature with experimental confidence. Text mining can be employed to extract such microbial interactions from biomedical literature which could be a significant complement to abundance-based method. The key tasks of text mining include n...