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

Papers: 10.1016/j.ebiom.2021.103269

https://doi.org/10.1016/j.ebiom.2021.103269

The prognostic impact of the tumour stroma fraction: A machine learning-based analysis in 16 human solid tumour types

Cited by: 21
Author(s): Patrick Micke, Carina Strell, Johanna Sofia Margareta Mattsson, Alfonso Martín-Bernabé, Hans Brunnström, Jutta Huvila, Malin Sund, Fredrik Wärnberg, Fredrik Pontén, Bengt Glimelius, Ina Hrynchyk, Siarhei Mauchanski, Salome Khelashvili, Gemma Garcia-Vicién, David G. Mollevı́, Per Henrik Edqvist, Aine O ́Reilly, Sara Corvigno, Hanna Dahlstrand, Johan Botling, Ulrika Segersten, Agnieszka Krzyzanowska, Anders Bjartell, Jacob Elebro, Margareta Heby, Sebastian Lundgren, Charlotta Hedner, David Borg, Jenny Brändstedt, Hanna Sartor, Per Uno Malmström, Martin Johansson, Björn Nodin, Max Backman, Cecilia Lindskog, Karin Jirström, Artur Mezheyeuski
Published: over 4 years ago

Software Mentions 3

cran: survival
Survival Analysis
Papers that mentioned: 1,690
Very Likely Science (100)
cran: survminer
Drawing Survival Curves using 'ggplot2'
Papers that mentioned: 1,473
Very Likely Science (75)
pypi: survival
Add static script_dir() method to Path
Papers that mentioned: 1,690
Very Likely Science (90)