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Papers: 10.1186/s13062-018-0214-9

https://doi.org/10.1186/s13062-018-0214-9

Predicting clinical outcome of neuroblastoma patients using an integrative network-based approach

Cited by: 13
Author(s): Léon-Charles Tranchevent, Petr V. Nazarov, Tony Kaoma, Georges Pierre Schmartz, Arnaud Muller, Sang Yoon Kim, Jagath C. Rajapakse, Francisco Azuaje
Published: over 7 years ago

Software Mentions 10

bioconductor: diffuStats
Diffusion scores on biological networks
Papers that mentioned: 3
Very Likely Science (100)
cran: igraph
Network Analysis and Visualization
Papers that mentioned: 1,555
Very Likely Science (100)
cran: node2vec
Algorithmic Framework for Representational Learning on Graphs
Papers that mentioned: 104
Very Likely Science (85)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: WGCNA
Weighted Correlation Network Analysis
Papers that mentioned: 3,479
Very Likely Science (85)
pypi: igraph
High performance graph data structures and algorithms
Papers that mentioned: 1,555
Very Likely Science (100)
pypi: networkx
Python package for creating and manipulating graphs and networks
Papers that mentioned: 110
Very Likely Science (100)
pypi: node2vec
Implementation of the node2vec algorithm
Papers that mentioned: 104
Very Likely Science (100)
pypi: scipy
Fundamental algorithms for scientific computing in Python
Papers that mentioned: 1,071
Very Likely Science (100)
pypi: sklearn
deprecated sklearn package, use scikit-learn instead
Papers that mentioned: 559
Very Likely Science (65)