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General Effect Modelling (GEM) -- Part 3. GEM applied on proteome data of cerebrospinal fluid of mul...

General Effect Modelling (GEM) -- Part 3. GEM applied on proteome data of cerebrospinal fluid of mul...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3033743340

General Effect Modelling (GEM) -- Part 3. GEM applied on proteome data of cerebrospinal fluid of multiple sclerosis and clinically isolated syndrome

About this item

Full title

General Effect Modelling (GEM) -- Part 3. GEM applied on proteome data of cerebrospinal fluid of multiple sclerosis and clinically isolated syndrome

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-04

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

The novel data analytical platform General Effect Modelling (GEM), is an umbrella platform covering different data analytical methods that handle data with multiple design variables (or pseudo design variables) and multivariate responses. GEM is here demonstrated in an analysis of proteome data from cerebrospinal fluid (CSF) from two independent pr...

Alternative Titles

Full title

General Effect Modelling (GEM) -- Part 3. GEM applied on proteome data of cerebrospinal fluid of multiple sclerosis and clinically isolated syndrome

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3033743340

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3033743340

Other Identifiers

E-ISSN

2331-8422

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