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Papers: 10.3390/molecules25246057

https://doi.org/10.3390/molecules25246057

QSAR Model for Predicting the Cannabinoid Receptor 1 Binding Affinity and Dependence Potential of Synthetic Cannabinoids

Cited by: 5
Author(s): Won Young Lee, So‐Jung Park, Ji-Young Hwang, Choon‐Gon Jang, Yong Sup Lee, Jongmin Kim, Xiaodi Zhao, Aekyung Park, Kyung Hoon Min, Choon‐Gon Jang, Hyun-Ju Park
Published: over 5 years ago

Software Mentions 7

cran: mlr
Machine Learning in R
Papers that mentioned: 64
Very Likely Science (100)
cran: pls
Partial Least Squares and Principal Component Regression
Papers that mentioned: 137
Very Likely Science (85)
cran: plsr
Pleasure - Partial Least Squares Analysis with Permutation Testing
Papers that mentioned: 4
Very Likely Science (85)
cran: rcdk
Interface to the 'CDK' Libraries
Papers that mentioned: 30
Very Likely Science (75)
pypi: mlr
Linear regression utility with inference tests, residual analysis, outlier visualization, multicollinearity test, and other features
Papers that mentioned: 64
Likely Science (40)
pypi: pls
`pls` is a prettier and powerful `ls` for the pros.
Papers that mentioned: 137
Very Likely Science (65)
pypi: QSAR
Python library for QSAR model from Juvena Machine Learning Team.
Papers that mentioned: 176
Very Likely Science (75)