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: 10.1038/s41598-018-33874-1

https://doi.org/10.1038/s41598-018-33874-1

Genome-wide prediction of bacterial effector candidates across six secretion system types using a feature-based statistical framework

Cited by: 11
Author(s): Andi Dhroso, Samantha Eidson, Dmitry Korkin
Published: about 6 years ago

Software Mentions 1

pypi: libsvm
Pre-built LibSVM packages for Python.
Papers that mentioned: 203