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

Papers: 10.1371/journal.pcbi.1008735

https://doi.org/10.1371/journal.pcbi.1008735

From heterogeneous healthcare data to disease-specific biomarker networks: A hierarchical Bayesian network approach

Cited by: 9
Author(s): Ann‐Kristin Becker, Marcus Dörr, Stephan B. Felix, Fabian Frost, Hans J. Grabe, Markus M. Lerch, Matthias Nauck, Uwe Völker, Henry Völzke, Lars Kaderali
Published: over 4 years ago

Software Mentions 5

cran: bnlearn
Bayesian Network Structure Learning, Parameter Learning and Inference
Papers that mentioned: 113
Very Likely Science (85)
cran: ClustOfVar
Clustering of Variables
Papers that mentioned: 21
Very Likely Science (75)
cran: PRROC
Precision-Recall and ROC Curves for Weighted and Unweighted Data
Papers that mentioned: 35
Very Likely Science (83)
pypi: bnlearn
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Papers that mentioned: 113
Very Likely Science (90)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)