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2008

GAPscreener: An automatic tool for screening human genetic association literature in PubMed using the support vector machine tec

11 years 5 months ago
GAPscreener: An automatic tool for screening human genetic association literature in PubMed using the support vector machine tec
Background: Synthesis of data from published human genetic association studies is a critical step in the translation of human genome discoveries into health applications. Although genetic ion studies account for a substantial proportion of the abstracts in PubMed, identifying them with standard queries is not always accurate or efficient. Further automating the literaturescreening process can reduce the burden of a labor-intensive and time-consuming traditional literature search. The Support Vector Machine (SVM), a well-established machine learning technique, has been successful in classifying text, including biomedical literature. The GAPscreener, VM-based software tool, can be used to assist in screening PubMed abstracts for human genetic association studies. Results: The data source for this research was the HuGE Navigator, formerly known as the HuGE Pub Lit database. Weighted SVM feature selection based on a keyword list obtained by the twoway z score method demonstrated the best ...
Wei Yu, Melinda Clyne, Siobhan M. Dolan, Ajay Yesu
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where BMCBI
Authors Wei Yu, Melinda Clyne, Siobhan M. Dolan, Ajay Yesupriya, Anja Wulf, Tiebin Liu, Muin J. Khoury, Marta Gwinn
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