PRANA: an R package for differential co-expression network analysis with the presence of additional covariates

• Published in: BMC genomics Vol. 24; no. 1; pp. 687 - 7
• Main Authors: Ahn, Seungjun, Datta, Somnath
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 16.11.2023; BioMed Central; BMC
• Subjects: Algorithms; Analysis; Base Sequence; Chronic obstructive pulmonary disease; Covariate adjustment; Data processing; Datasets; Differential network analysis; Estimates; Gene expression; Gene sequencing; Genes; Genomics; Genotype & phenotype; Humans; Lung diseases; Monte Carlo simulation; Network analysis; Obstructive lung disease; Pseudo-value regression; Ribonucleic acid; RNA; RNA sequencing; RNA-Seq data; Sequence Analysis, RNA; Software; Statistical analysis; Statistical methods; Variables; United States; Differential network analysis; Pseudo-value regression; RNA-Seq data; Covariate adjustment

Advances in sequencing technology and cost reduction have enabled an emergence of various statistical methods used in RNA-sequencing data, including the differential co-expression network analysis (or differential network analysis). A key benefit of this method is that it takes into consideration th...