Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/3627
Title: Discovering Differentially Expressed Genes in Yeast Stress Data
Authors: António José Gonçalves
Ong,I
Lewis,JA
Vítor Santos Costa
Issue Date: 2014
Abstract: Transcriptional regulation plays an important role in every cellular decision. Gaining an understanding of the dynamics that govern how a cell will respond to diverse environmental cues is difficult using intuition alone. We try to discover how genes interact when submitted to stress by exploring techniques of gene expression data analysis. We use several types of data, including high-throughput data. These results will help us recreate plausible regulatory networks by using a probabilistic logical model. Hence, network hypotheses can be generated from existing gene expression data for use by experimental biologists.
URI: http://repositorio.inesctec.pt/handle/123456789/3627
http://dx.doi.org/10.1109/cbms.2014.127
metadata.dc.type: conferenceObject
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Appears in Collections:CRACS - Indexed Articles in Conferences

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