Discovering the gene and disease relationship from biomedical literature database by applying the information retrieval technology

• Main Authors: Lin Ming Chin, 林明錦
• Other Authors: Yu-Chuan Li
• Format: Others
• Language: zh-TW
• Published: 2002
• Online Access: http://ndltd.ncl.edu.tw/handle/96236368971083172106

碩士 === 台北醫學院 === 醫學資訊研究所 === 90 === With the development of biomolecular technology, there is getting more and more information derived from genome research. Besides, the microarry was introduced to allow people study genome wide pattern of gene expression profile, the scientists have the opportunity to study the function of genes. At the same time, the functional genomic research also bring a great impact to clinicians which usually study single gene or study disease at biochemistry level. In traditional, the MEDLINE always is the major resource for clinicians research. Recently, the explosion amount of the genomic related research bring for clinicians is too complicated to understand it. For examples, when talking about one disease, there are approximate over ten thousand of articles and hundred genes in it. It is almost impossible for clinicians to digest the knowledge. So it is urgent that there must be some computational tools developed to help clinicians observing the gene and disease relationship In this research, we focus on constructing the probabilistic model of gene and disease relationship. By using two models to represent the knowledge from biomedical literature database, we can compare the two models in system performance and precision.