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Semantics and Accuracy of Gene Expression Threshold Computations. A Case Study

Authors:
Jaime Seguel
Marie Lluberes

Keywords: binary quantization; gene expression; quantitative semantics

Abstract:
The precise inner workings of cellular mechanisms remain largely unknown and, therefore, their modeling is usually based on conjectures. The availability of large amounts of genetic data, and the lack of abstract mathematical models, makes computer algorithms the only tool available for searching for these hypothetical realities. We call the conjectured algorithmic-independent reality that underlies the method design and intention, the semantics of the algorithm. This article is a brief semantics analysis exercise performed with four binary quantization algorithms for time series of gene expression data.

Pages: 1 to 6

Copyright: Copyright (c) IARIA, 2013

Publication date: September 29, 2013

Published in: conference

ISSN: 2308-4499

ISBN: 978-1-61208-290-5

Location: Porto, Portugal

Dates: from September 29, 2013 to October 3, 2013