From <scp>RNA</scp> sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis
Milena Wünsch(Zimmer Biomet (Germany)), Anne‐Laure Boulesteix(Zimmer Biomet (Netherlands)), Ludwig Christian Hinske(University of Augsburg), Christina Sauer(Zimmer Biomet (Germany)), Patrick Callahan(Zimmer Biomet (Germany))
Cited by 7
Related Papers
Bias in random forest variable importance measures: Illustrations, sources and a solution
|BMC Bioinformatics|2007|3.7k
Conditional variable importance for random forests
|BMC Bioinformatics|2008|3.3k
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
|BMJ|2024|2.8k
Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics
|Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery|2012|937
Random forest versus logistic regression: a large-scale benchmark experiment
|BMC Bioinformatics|2018|882