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2017
DOI: 10.1038/s41598-017-14682-5
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A Computational Method of Defining Potential Biomarkers based on Differential Sub-Networks

Abstract: Analyzing omics data from a network-based perspective can facilitate biomarker discovery. To improve disease diagnosis and identify prospective information indicating the onset of complex disease, a computational method for identifying potential biomarkers based on differential sub-networks (PB-DSN) is developed. In PB-DSN, Pearson correlation coefficient (PCC) is used to measure the relationship between feature ratios and to infer potential networks. A differential sub-network is extracted to identify crucial… Show more

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Cited by 16 publications
(7 citation statements)
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References 55 publications
(38 reference statements)
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“…Pearson correlation coefficients (PCC) is used to measure vector similarity and the relationship of the vectors and to construct networks [ 51 ]. The closer the correlation coefficient is to 1 or −1, the stronger the correlation degree is; the closer the correlation coefficient is to 0, the weaker the correlation degree is.…”
Section: Resultsmentioning
confidence: 99%
“…Pearson correlation coefficients (PCC) is used to measure vector similarity and the relationship of the vectors and to construct networks [ 51 ]. The closer the correlation coefficient is to 1 or −1, the stronger the correlation degree is; the closer the correlation coefficient is to 0, the weaker the correlation degree is.…”
Section: Resultsmentioning
confidence: 99%
“…The process used to generate this analysis is limited because it ignores known gene functions and over-represents the distance among genes that may be related. To avoid these limitations, it is necessary to incorporate biological knowledge into the analyses; for example, that includes common functional responses between related genes . Thus, the similarities between both tissues need to be assessed using more than just cluster analysis, and to explore similarities between both tissues, GO categories and pathway analyses were used.…”
Section: Resultsmentioning
confidence: 99%
“…The decision to assess inflammatory changes through the ratio of biomarker levels at T 0 and T 4 was based in the large inter-individual variability reported in previous studies 13 – 24 , as well as, the expectation that only a subgroup of patients would have intense inspiratory efforts. In addition, we believe that the biomarker ratio, by representing a relationship is sensitive to changes, discriminates the most relevant interactions and allows a more personalized analysis 26 .…”
Section: Discussionmentioning
confidence: 99%