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: almost 11 years ago

Software Mentions 4

cran: Boruta
Wrapper Algorithm for All Relevant Feature Selection
Papers that mentioned: 192
pypi: BNfinder
Bayes Net Finder: an efficient and exact method for learning bayesian networks
Papers that mentioned: 3
pypi: Boruta
Python Implementation of Boruta Feature Selection
Papers that mentioned: 192
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431