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RANKING GENE-DRUG RELATIONSHIPS IN BIOMEDICAL LITERATURE USING LATENT DIRICHLET ALLOCATION
2011
Biocomputing 2012
Drug responses vary greatly among individuals due to human genetic variations, which is known as pharmacogenomics (PGx). Much of the PGx knowledge has been embedded in biomedical literature and there is a growing interest to develop text mining approaches to extract such knowledge. In this paper, we present a study to rank candidate gene-drug relations using Latent Dirichlet Allocation (LDA) model. Our approach consists of three steps: 1) recognize gene and drug entities in MEDLINE abstracts;
doi:10.1142/9789814366496_0041
fatcat:v7gih4dywne57lg3fzekwdfvf4