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

Papers: 10.1371/journal.pone.0236878

https://doi.org/10.1371/journal.pone.0236878

Modeling cannabinoids from a large-scale sample of Cannabis sativa chemotypes

Cited by: 12
Author(s): Daniela Vergara, Reggie Gaudino, Thomas Blank, Brian Keegan
Published: almost 5 years ago

Software Mentions 6

cran: umap
Uniform Manifold Approximation and Projection
Papers that mentioned: 24
Very Likely Science (81)
pypi: fancyimpute
Matrix completion and feature imputation algorithms
Papers that mentioned: 6
Very Likely Science (100)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)
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: umap
UNIST synthesis MAP solution
Papers that mentioned: 24
Very Likely Science (65)