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: 10.1186/1752-0509-7-S6-S16
https://doi.org/10.1186/1752-0509-7-S6-S16
Active enhancer positions can be accurately predicted from chromatin marks and collective sequence motif data
Cited by: 14
Author(s): Agnieszka Podsiadło, Mariusz Wrzesień, Wiesław Paja, Witold R. Rudnicki, Bartek Wilczyński
Published: about 11 years ago
Software Mentions 4
pypi: BNfinder
Bayes Net Finder: an efficient and exact method for learning bayesian networksPapers that mentioned: 3
pypi: scikit-learn
A set of python modules for machine learning and data miningPapers that mentioned: 2,431