From 65dc1a79177f0f1d7800b30d034f5d073f4e9b6e Mon Sep 17 00:00:00 2001 From: Paulo Cilas Morais Lyra Junior <58008200+paulocilasjr@users.noreply.github.com> Date: Wed, 11 Dec 2024 10:53:07 -0500 Subject: [PATCH] Update topics/statistics/tutorials/loris_model/tutorial.md Co-authored-by: Anup Kumar, PhD --- topics/statistics/tutorials/loris_model/tutorial.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/topics/statistics/tutorials/loris_model/tutorial.md b/topics/statistics/tutorials/loris_model/tutorial.md index da0c7a81ee13cc..1baf51982ec9b8 100644 --- a/topics/statistics/tutorials/loris_model/tutorial.md +++ b/topics/statistics/tutorials/loris_model/tutorial.md @@ -6,7 +6,7 @@ zenodo_link: https://zenodo.org/records/13885908 questions: - How can the LORIS LLR6 model published by Chang et al., 2024 be reproduced? - Which tools can be used in Galaxy to obtain a logistic regression model? -- How can I evaluate the model to confirm its performance? +- How can the model be evaluated to confirm its performance? objectives: - Use a large dataset of immune checkpoint blockade (ICB)-treated and non-ICB-treated patients across 18 solid tumor types, encompassing a wide range of clinical, pathologic and genomic features to build a Machine Learning Model. - Build a Machine Learning model using PyCaret in Galaxy.