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Papers: 10.1186/s13007-021-00744-3

https://doi.org/10.1186/s13007-021-00744-3

PredCRG: A computational method for recognition of plant circadian genes by employing support vector machine with Laplace kernel

Cited by: 4
Author(s): Prabina Kumar Meher, Ansuman Mohapatra, Subhrajit Satpathy, Anuj Sharma, Isha Saini, Sukanta Kumar Pradhan, Anil Rai
Published: over 4 years ago

Software Mentions 8

cran: adabag
Applies Multiclass AdaBoost.M1, SAMME and Bagging
Papers that mentioned: 16
Very Likely Science (75)
cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear Models
Papers that mentioned: 1,607
Very Likely Science (100)
cran: ipred
Improved Predictors
Papers that mentioned: 29
Very Likely Science (75)
cran: PredCRG
Computational Prediction of Proteins Encoded by Circadian Genes
Papers that mentioned: 1
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: xgboost
Extreme Gradient Boosting
Papers that mentioned: 207
Very Likely Science (100)
pypi: glmnet
Python wrapper for glmnet
Papers that mentioned: 1,607
Very Likely Science (100)
pypi: xgboost
XGBoost Python Package
Papers that mentioned: 207
Very Likely Science (90)