Stacey N Reinke

7PUBLICATIONS
17CO-AUTHORS
Science, technology and engineering curriculum and pedagogyCancer geneticsFormal methods for softwareDeep learningStochastic analysis and modelling
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Publications (7)

|Dec 13, 2022
Providing metabolomics education and training: pedagogy and considerations.

Catherine L Winder, Michael Witting, Fidele Tugizimana

|Nov 26, 2021
Urinary metabotype of severe asthma evidences decreased carnitine metabolism independent of oral corticosteroid treatment in the U-BIOPRED study.

Stacey N Reinke, Shama Naz, Romanas Chaleckis

|Jan 23, 2020
Migrating from partial least squares discriminant analysis to artificial neural networks: a comparison of functionally equivalent visualisation and feature contribution tools using jupyter notebooks.

Kevin M Mendez, David I Broadhurst, Stacey N Reinke

|Nov 16, 2019
A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification.

Kevin M Mendez, Stacey N Reinke, David I Broadhurst

|Oct 20, 2019
The application of artificial neural networks in metabolomics: a historical perspective.

Kevin M Mendez, David I Broadhurst, Stacey N Reinke

|Sep 16, 2019
Toward collaborative open data science in metabolomics using Jupyter Notebooks and cloud computing.

Kevin M Mendez, Leighton Pritchard, Stacey N Reinke

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Frequent Collaborators

5 joint publications

David I Broadhurst

4 joint publications

Kevin M Mendez

2 joint publications

Craig E Wheelock

1 joint publications

Leighton Pritchard