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Updated: Jun 26, 2026

Pattern-based Search of Epigenomic Data Using GeNemo
Published on: October 8, 2017
A dimensional retrieval model for integrating semantics and statistical evidence in context for genomics literature
Jay Urbain1, Nazli Goharian, Ophir Frieder
1Electrical Engineering and Computer Science Department, Milwaukee School of Engineering, 9050 N. Tennyson Dr. Bayside, WI 53217, USA. urbajay@iit.edu
Abstract:
We present a dimensional information retrieval model for combining concept-based semantics and term statistics within multiple levels of document context to identify concise, variable length passages of text that answer a user query. Our results demonstrate improved search results in the presence of varying levels of semantic evidence, and higher performance using retrieval functions that combine document, as well as sentence and passage level information. Experimental results are promising. When ranking documents based on the most relevant extracted passages, the results exceed the state-of-the-art by 15.28% as assessed by the TREC 2005 Genomics track collection of 4.5 million MEDLINE citations.
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