Genes, Themes and Microarrays - Using Information Retrieval for Large-Scale Gene Analysis (2000)
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BibTeX
@INPROCEEDINGS{Shatkay00genes,themes,
author = {Hagit Shatkay and Stephen Edwards and W. John Wilbur and Mark Boguski and W. John and Wilbur Mark Boguski},
title = {Genes, Themes and Microarrays - Using Information Retrieval for Large-Scale Gene Analysis},
booktitle = {},
year = {2000},
pages = {317--328}
}
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Abstract
The immense volume of data resulting from DNA microarray experiments, accompanied byanincrease in the number of publications discussing gene-related discoveries, presents a major data analysis challenge. Current methods for genome-wide analysis of expression data typically rely on cluster analysis of gene expression patterns. Clustering indeed reveals potentially meaningful relationships among genes, but can not explain the underlying biological mechanisms. In an attempt to address this problem, we have developed a new approach for utilizing the literature in order to establish functional relationships among genes on a genome-wide scale. Our method is based on revealing coherent themes within the literature, using a similarity-based search in document space. Contentbased relationships among abstracts are then translated into functional connections among genes. We describe preliminary experiments applying our algorithm to a database of documents discussing yeast genes...
