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

Papers: 10.3390/cancers13184671

https://doi.org/10.3390/cancers13184671

Identifying New Potential Biomarkers in Adrenocortical Tumors Based on mRNA Expression Data Using Machine Learning

Cited by: 9
Author(s): André Marquardt, Laura‐Sophie Landwehr, Cristina L. Ronchi, Guido Di Dalmazi, Anna Riester, Philip Kollmannsberger, Barbara Altieri, Martin Fassnacht, Silviu Sbiera
Published: almost 4 years ago

Software Mentions 5

pypi: lifelines
Survival analysis in Python, including Kaplan Meier, Nelson Aalen and regression
Papers that mentioned: 39
Very Likely Science (100)
pypi: matplotlib
Python plotting package
Papers that mentioned: 1,045
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: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)
pypi: statannot
add statistical annotations on an existing boxplot/barplot generated by seaborn.
Papers that mentioned: 14
Very Likely Science (75)