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Papers: 10.1186/s13040-016-0086-4

https://doi.org/10.1186/s13040-016-0086-4

Prediction of donor splice sites using random forest with a new sequence encoding approach

Cited by: 31
Author(s): Prabina Kumar Meher, Tanmaya Kumar Sahu, Atmakuri Ramakrishna Rao
Published: over 9 years ago

Software Mentions 9

cran: ada
The R Package Ada for Stochastic Boosting
Papers that mentioned: 13
Very Likely Science (83)
cran: class
Functions for Classification
Papers that mentioned: 34
Very Likely Science (83)
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: ipred
Improved Predictors
Papers that mentioned: 29
Very Likely Science (75)
cran: klaR
Classification and Visualization
Papers that mentioned: 33
Very Likely Science (85)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: RSNNS
Neural Networks using the Stuttgart Neural Network Simulator (SNNS)
Papers that mentioned: 28
Very Likely Science (100)
pypi: class
A simple class!
Papers that mentioned: 34
Very Likely Science (65)
pypi: stats
Calculator-style statistical functions
Papers that mentioned: 3,105
Very Likely Science (90)