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PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning

PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2470801872

PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning

About this item

Full title

PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning

Author / Creator

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2020-12

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Genetic pathways usually encode molecular mechanisms that can inform targeted interventions. It is often challenging for existing machine learning approaches to jointly model genetic pathways (higher-order features) and variants (atomic features), and present to clinicians interpretable models. In order to build more accurate and better interpretab...

Alternative Titles

Full title

PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2470801872

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2470801872

Other Identifiers

E-ISSN

2331-8422

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