Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Correction: LMethyR-SVM: Predict Human Enhancers Using Low Methylated Regions based on Weighted Support Vector Machines

  • Jingting Xu,
  • Hong Hu,
  • Yang Dai
  • Article
  • Metrics
  • Comments
  • Media Coverage

The following information is missing from the funding statement: This work was partially supported by the UIC Research Open Access Article Publishing (ROAAP) Fund. The funder had no role in study design, data collection and analysis, decision to publish, and preparation of the manuscript.

Reference

  1. 1. Xu J, Hu H, Dai Y (2016) LMethyR-SVM: Predict Human Enhancers Using Low Methylated Regions based on Weighted Support Vector Machines. PLoS ONE 11(9): e0163491. pmid:27662487