2022
DOI: 10.1186/s43042-022-00352-3
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Pathway analysis of sepsis-induced changes gene expression

Abstract: Background Sepsis reaction is a response to an infection composed of genetic elements. This research aims to better understand how sepsis affects the molecular pathways in whole blood samples. Methods Whole blood samples from healthy controls (n = 18), sepsis nonsurvivors (n = 9), and sepsis survivors (n = 26) were retrieved from the gene expression omnibus (GEO) collection of the national center for biotechnology information (NCBI) (accession num… Show more

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Cited by 2 publications
(2 citation statements)
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“…These correlated genes can present challenges in downstream analysis, as they can complicate interpretation and may introduce bias into statistical models. Despite these challenges, researchers have developed various methods for dealing with highly correlated gene sets, such as Bayesian sparse factor model [15], gene-gene network modules [16] and re ned differential gene expression analysis [17].…”
Section: Introductionmentioning
confidence: 99%
“…These correlated genes can present challenges in downstream analysis, as they can complicate interpretation and may introduce bias into statistical models. Despite these challenges, researchers have developed various methods for dealing with highly correlated gene sets, such as Bayesian sparse factor model [15], gene-gene network modules [16] and re ned differential gene expression analysis [17].…”
Section: Introductionmentioning
confidence: 99%
“…Extensive research has shed light on the intricate mechanisms involved in the pathogenesis of sepsis. The dysregulated immune response, specifically the overactivation of pro-inflammatory pathways and inadequate control of anti-inflammatory processes, plays a central role in the development and progression of sepsis [4]. The consequences of sepsis extend beyond the initial infection, affecting multiple organ systems and leading to severe complications.…”
Section: Introductionmentioning
confidence: 99%