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The effect of non-linear signal in classification problems using gene expression

The effect of non-linear signal in classification problems using gene expression

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2802064030

The effect of non-linear signal in classification problems using gene expression

About this item

Full title

The effect of non-linear signal in classification problems using gene expression

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2023-03, Vol.19 (3), p.e1010984

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Those building predictive models from transcriptomic data are faced with two conflicting perspectives. The first, based on the inherent high dimensionality of biological systems, supposes that complex non-linear models such as neural networks will better match complex biological systems. The second, imagining that complex systems will still be well...

Alternative Titles

Full title

The effect of non-linear signal in classification problems using gene expression

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2802064030

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2802064030

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1010984

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