Argudas: arguing with gene expression information

TL;DR

Argudas is a system that uses argumentation to address inconsistencies and incompleteness in gene expression databases, aiding biologists in interpreting hybridization data.

Contribution

The paper introduces Argudas, an argumentation-based system that improves the integration and interpretation of gene expression data from multiple biological databases.

Findings

Argudas effectively identifies inconsistencies in gene expression data.

The system enhances data interpretation for biologists.

Argumentation proves useful in biological database integration.

Abstract

In situ hybridisation gene expression information helps biologists identify where a gene is expressed. However, the databases that republish the experimental information are often both incomplete and inconsistent. This paper examines a system, Argudas, designed to help tackle these issues. Argudas is an evolution of an existing system, and so that system is reviewed as a means of both explaining and justifying the behaviour of Argudas. Throughout the discussion of Argudas a number of issues will be raised including the appropriateness of argumentation in biology and the challenges faced when integrating apparently similar online biological databases.