About: Improving gene-network inference with graph-wavelets and making insights about ageing associated regulatory changes in lungs

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Improving gene-network inference with graph-wavelets and making insights about ageing associated regulatory changes in lungs
Creator	Kumar, Vibhor Mishra, Shreya
source	BioRxiv
abstract	Using gene-regulatory-networks based approach for single-cell expression profiles can reveal unprecedented details about the effects of external and internal stress on cells. However, noise and batch effect in sparse single-cell expression profiles can hamper correct estimation of dependencies among genes and regulatory changes. Here we devise a conceptually different method using graph-wavelet filters for improving gene-network (GWNet) based analysis of the transcriptome. Our approach improved the performance of several gene-network inference methods. Most Importantly, GWNet improved consistency in the prediction of gene-regulatory-network using single-cell transcriptome even in presence of batch effect. Consistency of predicted gene-network enabled reliable estimates of changes in the influence of genes not highlighted by differential-expression analysis. Applying GWNet on the single-cell transcriptome profile of lung cells, revealed biologically-relevant changes in the influence of pathways and master-regulators due to ageing. Surprisingly, the regulatory influence of ageing on pneumocytes type II cells showed noticeable similarity with patterns due to effect of novel coronavirus infection in Human Lung.
has issue date	2020-07-25(xsd:dateTime)
bibo:doi	10.1101/2020.07.24.219196
has license	biorxiv
sha1sum (hex)	d39df541c74410d84d6169bd7db3bbcd0d7e90b4
schema:url	https://doi.org/10.1101/2020.07.24.219196
resource representing a document's title	Improving gene-network inference with graph-wavelets and making insights about ageing associated regulatory changes in lungs
schema:publication	bioRxiv
resource representing a document's body	covid:d39df541c74410d84d6169bd7db3bbcd0d7e90b4#body_text
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