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 May;26(5):660–669. doi: 10.1101/gr.198911.115

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

© 2016 Zhao et al.; Published by Cold Spring Harbor Laboratory Press

This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.

PMC Copyright notice

Figure 4. — Integrative method was applied to predict novel retinal disease genes. (A) The enrichment score distribution of all retinal disease and background proteins identified in the OS and RR proteomes. (B) The attribute importance, measured by ReliefF score, of all attributes used during machine learning. (C) The prediction score distributions for background genes, known retinal disease genes, and candidate disease genes. (D) The average prediction scores of background genes, known retinal disease genes, and candidate disease genes. All other genes identified in the OS and RR proteome are used as background.