Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2020 Dec 31:bbaa360. doi: 10.1093/bib/bbaa360

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

PMC Copyright notice

Performance and analysis of noise for single-cell RNA-seq profile of pancreatic cells. (A) Performance based on overlap of predicted network with PPI data set. (B) Evaluation of consistency of predicted network. For comparing two networks, it is important to reduce differences due to noise. Hence, the plot here shows similarity of predicted networks before and after graph wavelet-based denoising. The result shown here are for correlation-based co-expression network, whereas similar results are shown using score in Supplementary Figure S2. (C) Variances of expression of genes across single cells before and after denoising (filtering) are shown here. Variances of genes in a cell type were calculated separately for three different stages of ageing (young, adult and old). The variance (estimate of noise) is higher in older alpha and beta cells compared with young. However, after denoising variance of genes in all ageing stage becomes equal (D) Effect of noise in estimated differential centrality is shown is here. The difference in the degree of genes in network estimated for old and young pancreatic beta cells is shown here. The number of non-zero differential-degree estimated using denoised expression is lower than unfiltered expression-based networks.(E) Enriched panther pathway terms for top 500 genes with the highest drop in variance after denoising in old and young pancreatic beta cells.

Inline graphic — Performance and analysis of noise for single-cell RNA-seq profile of pancreatic cells. (A) Performance based on overlap of predicted network with PPI data set. (B) Evaluation of consistency of predicted network. For comparing two networks, it is important to reduce differences due to noise. Hence, the plot here shows similarity of predicted networks before and after graph wavelet-based denoising. The result shown here are for correlation-based co-expression network, whereas similar results are shown using score in Supplementary Figure S2. (C) Variances of expression of genes across single cells before and after denoising (filtering) are shown here. Variances of genes in a cell type were calculated separately for three different stages of ageing (young, adult and old). The variance (estimate of noise) is higher in older alpha and beta cells compared with young. However, after denoising variance of genes in all ageing stage becomes equal (D) Effect of noise in estimated differential centrality is shown is here. The difference in the degree of genes in network estimated for old and young pancreatic beta cells is shown here. The number of non-zero differential-degree estimated using denoised expression is lower than unfiltered expression-based networks.(E) Enriched panther pathway terms for top 500 genes with the highest drop in variance after denoising in old and young pancreatic beta cells.