Papers: 10.1007/s10994-019-05848-5

https://doi.org/10.1007/s10994-019-05848-5

An evaluation of machine-learning for predicting phenotype: studies in yeast, rice, and wheat

Cited by: 79
Author(s): Nastasiya F. Grinberg, Oghenejokpeme I. Orhobor, Ross D. King
Published: almost 7 years ago

Software Mentions 7

cran: gbm
Generalized Boosted Regression Models
Papers that mentioned: 250
Very Likely Science (100)
cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear Models
Papers that mentioned: 1,607
Very Likely Science (100)
cran: kernlab
Kernel-Based Machine Learning Lab
Papers that mentioned: 157
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: rrBLUP
Ridge Regression and Other Kernels for Genomic Selection
Papers that mentioned: 263
Very Likely Science (93)
pypi: gbm
Read and analyze GBM data
Papers that mentioned: 250
Very Likely Science (100)
pypi: glmnet
Python wrapper for glmnet
Papers that mentioned: 1,607
Very Likely Science (100)