GenCLiP 3: mining human genes' functions and regulatory networks from PubMed based on co-occurrences and natural language processing.
Jia-Hong WangLing-Feng ZhaoHua-Feng WangYue-Ting WenKui-Kui JiangXiang-Ming MaoZi-Ying ZhouKai-Tai YaoQing-Shan GengDan GuoZhong-Xi HuangPublished in: Bioinform. (2020)
Keyphrases
- regulatory networks
- co occurrence
- natural language processing
- text mining
- computational biology
- gene expression
- biomedical literature
- semantic relations
- wordnet
- transcription factors
- gene expression data
- gene regulatory networks
- microarray
- named entities
- biological processes
- protein protein interactions
- gene ontology
- escherichia coli
- microarray data
- genetic networks
- information extraction
- biological data
- systems biology
- semantic similarity
- machine learning
- natural language
- biological systems
- knowledge representation
- protein interaction
- knowledge discovery
- high throughput
- data mining
- information retrieval
- pattern mining
- data mining techniques
- molecular biology
- semantic relationships
- text classification
- association rules