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Papers: 10.1038/s41598-021-92799-4

https://doi.org/10.1038/s41598-021-92799-4

Long-term cancer survival prediction using multimodal deep learning

Cited by: 60
Author(s): Luís A. Vale-Silva, Karl Rohr
Published: about 4 years ago

Software Mentions 7

bioconductor: TCGAbiolinks
TCGAbiolinks: An R/Bioconductor package for integrative analysis with GDC data
Papers that mentioned: 276
Very Likely Science (100)
pypi: cuda
Papers that mentioned: 13
Unlikely Science (0)
pypi: lifelines
Survival analysis in Python, including Kaplan Meier, Nelson Aalen and regression
Papers that mentioned: 39
Very Likely Science (100)
pypi: pandas
Powerful data structures for data analysis, time series, and statistics
Papers that mentioned: 640
Very Likely Science (100)
pypi: pycox
Survival analysis with PyTorch
Papers that mentioned: 3
Very Likely Science (100)
pypi: pysurvival
Open source package for Survival Analysis modeling
Papers that mentioned: 3
Very Likely Science (90)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)