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ZENODO
Software . 2025
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
ZENODO
Software . 2025
License: https://opensource.org/licenses/MIT
Data sources: Datacite
ZENODO
Software . 2025
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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CSF Metabolomics Logistic Regression Pipeline

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 23 Nov 2025Publisher:Zenodo
Authors: Willekens, Jeremy;
Code repository: https://github.com/jeremywillekens/CSF_Metabolomics_Logistic_Regression_Pipeline/tree/v1.0.0

doi: 10.5281/zenodo.17693234 , 10.5281/zenodo.17693235

CSF Metabolomics Logistic Regression Pipeline

Abstract

This repository contains the code used to generate the results for the manuscript: "CSF metabolomic signature during therapy for childhood acute lymphoblastic leukemia predicts subsequent working memory impairment." It provides an interactive workflow for logistic regression modeling, feature selection, cross-validation, hyperparameter tuning, and threshold optimization applied to CSF metabolomics data.

If you use this code in your research, please cite the repository as follows:

Keywords

feature selection, machine learning, logistic regression, CSF, pediatric oncology, metabolomics, cross-validation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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