Papers: 10.1186/s12711-019-0453-y
https://doi.org/10.1186/s12711-019-0453-y
Machine learning applied to transcriptomic data to identify genes associated with feed efficiency in pigs
Cited by: 24
Author(s): M. Piles, Carlos Fernández-Lozano, María Velasco-Galilea, Olga González‐Rodríguez, Juan Pablo Sánchez, D. Torrallardona, María Ballester, Raquel Quintanilla
Published: over 6 years ago
Software Mentions 6
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
Very Likely Science (100)
Very Likely Science (100)
Very Likely Science (93)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and RegressionPapers that mentioned: 1,447
Very Likely Science (100)
Very Likely Science (100)
pypi: mlr
Linear regression utility with inference tests, residual analysis, outlier visualization, multicollinearity test, and other featuresPapers that mentioned: 64
Likely Science (40)