Pathway expression analysis

• Published in: Scientific reports Vol. 12; no. 1; pp. 21839 - 13
• Main Authors: Mankovich, Nathan, Kehoe, Eric, Peterson, Amy, Kirby, Michael
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 17.12.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 631/1647/2017/2079; 631/1647/48; Classification; Datasets; Gene expression; Gene Expression Profiling; Humanities and Social Sciences; Humans; Influenza A Virus, H1N1 Subtype; Influenza A Virus, H3N2 Subtype; multidisciplinary; Respiratory syncytial virus; Respiratory Syncytial Virus Infections - genetics; Respiratory Syncytial Virus, Human - genetics; Rhinovirus; Science; Science (multidisciplinary); Support vector machines; Transcriptome; Transcriptomics; Viruses
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-022-26381-x

This paper introduces a pathway expression framework as an approach for constructing derived biomarkers. The pathway expression framework incorporates the biological connections of genes leading to a biologically relevant model. Using this framework, we distinguish between shedding subjects post-inf...