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References from Thresholding Gini variable importance with a single-trained random forest: An empirical Bayes approach. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
External reference
VariantSpark: cloud-based machine learning for association study of complex phenotype and large-scale genomic data
2020 · External reference
10.1371/journal.pone.0201904
10.1371/journal.pone.0201904 · External reference
10.1198/tast.2009.08199
10.1198/tast.2009.08199 · External reference
A unified approach to interpreting model predictions
2017 · External reference
10.1038/s42256-019-0138-9
10.1038/s42256-019-0138-9 · External reference
Conditional variable importance for random forests
10.1186/1471-2105-9-307 · 2008 · External reference
Evaluation of variable selection methods for random forests and omics data sets
10.1093/bib/bbx124 · 2019 · External reference
10.1093/bioinformatics/bty373
10.1093/bioinformatics/bty373 · External reference
A computationally fast variable importance test for random forests for high-dimensional data
2016 · External reference
10.1093/bioinformatics/btq134
10.1093/bioinformatics/btq134 · External reference
Testing significance of features by lassoed principal components
10.1214/08-aoas182 · 2008 · External reference
Statistical interpretation of machine learning-based feature importance scores for biomarker discovery
2012 · External reference
Gene selection and classification of microarray data using random forest
10.1186/1471-2105-7-3 · 2006 · External reference
Discovery and validation of molecular biomarkers for colorectal adenomas and cancer with application to blood testing
2012 · External reference
10.1109/ijcnn.2006.246934
10.1109/ijcnn.2006.246934 · External reference
Observed universality of phase transitions in high-dimensional geometry, with implications for modern data analysis and signal processing
2009 · External reference
10.18637/jss.v036.i11
10.18637/jss.v036.i11 · External reference
Robust random forest-based all-relevant feature ranks for trustworthy AI. Chall. Trust. AI added-value health
2022 · External reference
10.1093/nar/gkv007
10.1093/nar/gkv007 · External reference
Empirical threshold values for quantitative trait mapping
10.1093/genetics/138.3.963 · 1994 · External reference
10.1111/j.2517-6161.1995.tb02031.x
10.1111/j.2517-6161.1995.tb02031.x · External reference
10.1186/s13059-019-1716-1
10.1186/s13059-019-1716-1 · External reference
10.1073/pnas.1530509100
10.1073/pnas.1530509100 · External reference
10.32614/cran.package.locfdr
10.32614/cran.package.locfdr · External reference
Correlation and large-scale simultaneous significance testing
10.1198/016214506000001211 · 2007 · External reference
Microarrays, empirical bayes and the two-groups model
2008 · External reference
10.1017/cbo9780511761362
10.1017/cbo9780511761362 · External reference
10.1056/nejm200102223440801
10.1056/nejm200102223440801 · External reference
10.1093/nar/gkz836
10.1093/nar/gkz836 · External reference
Unresolved reference
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Empirical null estimation using zero-inflated discrete mixture distributions and its application to protein domain data
10.1111/biom.12779 · 2018 · External reference
Approximate skew normal distribution
10.1016/j.jare.2010.06.004 · 2010 · External reference
Unresolved reference
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Gene expression profiling of human lung tissue from smokers with severe emphysema
10.1165/rcmb.2004-0273oc · 2004 · External reference
10.1016/0095-0696(78)90006-2
10.1016/0095-0696(78)90006-2 · External reference
10.18637/jss.v077.i01
10.18637/jss.v077.i01 · External reference
10.1007/978-3-319-68612-7_38
10.1007/978-3-319-68612-7_38 · 2017 · External reference
