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Papers: 10.1186/s13321-021-00513-3

https://doi.org/10.1186/s13321-021-00513-3

Deep learning integration of molecular and interactome data for protein–compound interaction prediction

Cited by: 4
Author(s): Narumi Watanabe, Yuuto Ohnuki, Yasubumi Sakakibara
Published: about 4 years ago

Software Mentions 4

cran: node2vec
Algorithmic Framework for Representational Learning on Graphs
Papers that mentioned: 104
Very Likely Science (85)
pypi: chainer
A flexible framework of neural networks
Papers that mentioned: 1
Very Likely Science (75)
pypi: node2vec
Implementation of the node2vec algorithm
Papers that mentioned: 104
Very Likely Science (100)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)