id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-295307-zrtixzgu	Delgado-Chaves, Fernando M.	Computational Analysis of the Global Effects of Ly6E in the Immune Response to Coronavirus Infection Using Gene Networks	2020-07-21		.txt	text/plain	10169	541	51	Through the integration of differential expression analyses and reconstructed networks exploration, significant differences in the immune response to virus were observed in Ly6E [Formula: see text] compared to wild type animals. Among the different types of GNs, gene co-expression networks (GCNs) are widely used in the literature due to their computational simplicity and good performance in order to study biological processes or diseases [8] [9] [10] . In the present work mice samples were compared organ-wise depending on whether these corresponded to control, 3 d p.i. and 5 d p.i. The identification of DEG was performed using the Limma [63] R package, which provides non-parametric robust estimation of the gene expression variance. In this work four gene networks were reconstructed to model the genetic response MHV infection in two tissues, liver and spleen, and in two different genetic backgrounds, wild type and Ly6E ∆HSC .	./cache/cord-295307-zrtixzgu.txt	./txt/cord-295307-zrtixzgu.txt