An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1371/journal.pone.0231824

https://doi.org/10.1371/journal.pone.0231824

Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis

Cited by: 0
Author(s): Simone Lederer, Tom Heskes, Simon J. van Heeringen, Cornelis A. Albers
Published: about 5 years ago

Software Mentions 7

pypi: limix
Genetic analysis toolbox using mixed models
Papers that mentioned: 6
Very Likely Science (100)
pypi: matplotlib
Python plotting package
Papers that mentioned: 1,045
Very Likely Science (100)
pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)
pypi: pandas
Powerful data structures for data analysis, time series, and statistics
Papers that mentioned: 640
Very Likely Science (100)
pypi: seaborn
Statistical data visualization
Papers that mentioned: 283
Very Likely Science (100)
pypi: sklearn
deprecated sklearn package, use scikit-learn instead
Papers that mentioned: 559
Very Likely Science (65)