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A New Path Length Measure Based on GO for Gene Similarity with Evaluation Using SGD Pathways
 

Summary: A New Path Length Measure Based on GO for Gene Similarity with Evaluation
Using SGD Pathways
Anurag Nagar
University of Houston-Clear Lake
Houston, TX, 77058, USA
Hisham Al-Mubaid
University of Houston-Clear Lake
Houston, TX, 77058, USA
Abstract
We propose a new method for measuring the semantic
similarity of genes based on path length between their
annotation terms in the Gene Ontology. Our method
applies an exponential transfer function to the average
path length between two genes to compute their
similarity. The non-linear measure ensures that the
semantic similarity decreases with distance and proves
to be quite competitive when compared to other
measures. The advantage of the proposed measure is its
simplicity and ease of implementation which gives it a
great appeal in this domain. The measure uses only one

  

Source: Al-Mubaid, Hisham - School of Science and Computer Engineering, University of Houston-Clear Lake

 

Collections: Computer Technologies and Information Sciences