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Papers: 10.1186/1471-2105-16-S6-S3

https://doi.org/10.1186/1471-2105-16-S6-S3

Machine-learning scoring functions for identifying native poses of ligands docked to known and novel proteins

Cited by: 42
Author(s): Hossam M. Ashtawy, Nihar R. Mahapatra
Published: over 10 years ago

Software Mentions 9

cran: e1071
Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
Papers that mentioned: 419
Very Likely Science (85)
cran: earth
Multivariate Adaptive Regression Splines
Papers that mentioned: 30
Very Likely Science (85)
cran: gbm
Generalized Boosted Regression Models
Papers that mentioned: 250
Very Likely Science (100)
cran: kknn
Weighted k-Nearest Neighbors
Papers that mentioned: 17
Very Likely Science (100)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: SLIDE
Single Cell Linkage by Distance Estimation is SLIDE
Papers that mentioned: 50
Very Likely Science (83)
pypi: earth
All of it
Papers that mentioned: 30
Very Likely Science (65)
pypi: gbm
Read and analyze GBM data
Papers that mentioned: 250
Very Likely Science (100)
pypi: stats
Calculator-style statistical functions
Papers that mentioned: 3,105
Very Likely Science (90)