Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Papers: 10.1186/s12864-018-4766-y
https://doi.org/10.1186/s12864-018-4766-y
BoostMe accurately predicts DNA methylation values in whole-genome bisulfite sequencing of multiple human tissues
Cited by: 32
Author(s): Luli S. Zou, Michael R. Erdos, D. Leland Taylor, Peter S. Chines, Arushi Varshney, Stephen C. J. Parker, Francis S. Collins, John P. Didion
Published: over 6 years ago
Software Mentions 8
bioconductor: shinyMethyl
Interactive visualization for Illumina methylation arraysPapers that mentioned: 18
pypi: mlr
Linear regression utility with inference tests, residual analysis, outlier visualization, multicollinearity test, and other featuresPapers that mentioned: 64