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

Papers: 10.1038/s41598-018-24758-5

https://doi.org/10.1038/s41598-018-24758-5

Applications of Bayesian network models in predicting types of hematological malignancies

Cited by: 47
Author(s): Rupesh Agrahari, Amir Foroushani, T. Roderick Docking, Linda Chang, Gerben Duns, Monika Hudoba, Aly Karsan, Habil Zare
Published: about 7 years ago

Software Mentions 8

bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: Pigengene
Infers biological signatures from gene expression data
Papers that mentioned: 4
Very Likely Science (100)
cran: bnlearn
Bayesian Network Structure Learning, Parameter Learning and Inference
Papers that mentioned: 113
Very Likely Science (85)
cran: caret
Classification and Regression Training
Papers that mentioned: 630
Very Likely Science (100)
cran: FeaLect
Scores Features for Feature Selection
Papers that mentioned: 6
Very Likely Science (83)
cran: WGCNA
Weighted Correlation Network Analysis
Papers that mentioned: 3,479
Very Likely Science (85)
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: caret
A Python Interface to Asterisk
Papers that mentioned: 630
Very Likely Science (65)