Review of pathogenic gene prediction based on Text Mining

Background: Whether it is a single genetic disease, multiple genetic diseases or acquired genetic diseases, the discovery and prediction of disease-causing genes is a difficult problem in biomedical industry. It has also become an important research task in biomedical text mining. Methods: In the early stage of the prediction of disease-causing genes, the researchers predicted two major methods of linkage analysis and association analysis. Conclusion: The prediction of disease-causing genes can be predicted by using different prediction methods and different bioinformatics data according to the different problems of research questions and the different situations of concern. At present, the researchers have developed a number of related prediction tools to help understand, detect and predict disease-causing genes and pathogenesis of disease and other issues. Prediction of disease-causing genes is still a difficult and meaningful work.