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
Resource Type	Resource Type Resource Description Dataset Quantitative
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