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

. 2016 Jul 4;44(17):e140. doi: 10.1093/nar/gkw581

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

© The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

PMC Copyright notice

Figure 5. — Differential networks on estrogen signaling pathway reconstructed based on gene expression data from breast cancer Luminal A and Basal-like subtypes. (A) The degree of ESR1 in estimated differential networks with increased number of interactions. (B) The rank of ESR1 by its degree in differential networks. The number of interactions is up to 1000 in (A) and (B). (C) A differential network estimated by LDGM with λ = 0.362. Node size is proportional to the node's degree. Width of an interaction i − j is proportional to the score . The origin of interactions in the differential network is inferred by a principle of majority approach based on Glasso (see Supplementary Text).

Inline graphic — Differential networks on estrogen signaling pathway reconstructed based on gene expression data from breast cancer Luminal A and Basal-like subtypes. (A) The degree of ESR1 in estimated differential networks with increased number of interactions. (B) The rank of ESR1 by its degree in differential networks. The number of interactions is up to 1000 in (A) and (B). (C) A differential network estimated by LDGM with λ = 0.362. Node size is proportional to the node's degree. Width of an interaction i − j is proportional to the score . The origin of interactions in the differential network is inferred by a principle of majority approach based on Glasso (see Supplementary Text).