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Improving gene-network inference with graph-wavelets and making insights about ageing associated regulatory changes in lungs
[article]
2020
bioRxiv
pre-print
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
doi:10.1101/2020.07.24.219196
fatcat:rww7gelmojd5zihj3p4ciyleby