KEGG and gene ontology (GO) enrichment analyses for significantly differentially expressed genes between low and high PET score groups for the terms and pathways identified in the main analyses

Meier, S, Seddon, JA, Maasdorp, E, Kleynhans, L, du Plessis, N, Loxton, AG, Malherbe, ST, Zak, DE, Thompson, E, Duffy, FJ, Kaufmann, SHE, Ottenhoff, THM, Scriba, TJ, Suliman, S

, Sutherland, JS

, Winter, J, Kuivaniemi, H

, Walzl, G and Tromp, G

(2022). KEGG and gene ontology (GO) enrichment analyses for significantly differentially expressed genes between low and high PET score groups for the terms and pathways identified in the main analyses. [Dataset]. PLOS ONE. https://doi.org/10.1371/journal.pone.0278295.s005

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The analyses were performed using the topGO and kegga function from the edgeR R Bioconductor packages. The statistical metrics presented are as for S2 and S3 Tables respectively.

Keywords

Tuberculosis diagnosis and management, Neutrophils, Tuberculosis, Catalysis, Platelets, Mycobacterium tuberculosis, Gene expression, Gene ontologies

Item Type	Dataset
Capture method	Unknown
Date	1 December 2022
Language(s) of written materials	English
Creator(s)	Meier, S, Seddon, JA, Maasdorp, E, Kleynhans, L, du Plessis, N, Loxton, AG, Malherbe, ST, Zak, DE, Thompson, E, Duffy, FJ, Kaufmann, SHE, Ottenhoff, THM, Scriba, TJ, Suliman, S, Sutherland, JS , Winter, J, Kuivaniemi, H, Walzl, G and Tromp, G
LSHTM Faculty/Department	MRC Unit The Gambia at LSHTM
Participating Institutions	London School of Hygiene & Tropical Medicine, London, United Kingdom
Date Deposited	12 Dec 2022 11:08
Last Modified	12 Dec 2022 11:08
Publisher	PLOS ONE