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Gene set function enrichment analysis using biological networks

By Robert Cvitkovič

Abstract

Molecular biologists and geneticists are, nowadays, mostly focused on studying and understanding the DNA transcription. The gathered experimental data is difficult to interpret. Classical methods compare the discovered groups of genes with predefined gene sets. Unfortunately, these methods do not perform well. A solution is proposed by the SANTA method, which evaluates the experimental results on discovered gene sets based on known and extensive gene networks. In this thesis, we have implemented the method in Orange Bioinformatics. Orange is a well-known data-analysis programme. The Bioinformatics add-on includes specialised functionality for processing genomic data. Furthermore, we have also enriched its widgets for access to BioGRID and STRING, which store information on functional sets of genes and interactions

Topics: Computer and Information Science
Year: 2017
OAI identifier: oai:generic.eprints.org:3915/core382
Provided by: ePrints.FRI

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