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Exploring the Robustness of Causal Structures in Omics Data: A Sweet Cherry Proteogenomic Perspectiv...

Exploring the Robustness of Causal Structures in Omics Data: A Sweet Cherry Proteogenomic Perspectiv...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e59e0898770b40abb0851203a638d905

Exploring the Robustness of Causal Structures in Omics Data: A Sweet Cherry Proteogenomic Perspective

About this item

Full title

Exploring the Robustness of Causal Structures in Omics Data: A Sweet Cherry Proteogenomic Perspective

Publisher

Basel: MDPI AG

Journal title

Agronomy (Basel), 2024-01, Vol.14 (1), p.8

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Causal discovery is a highly promising tool with a broad perspective in the field of biology. In this study, a causal structure robustness assessment algorithm is proposed and employed on the causal structures obtained, based on transcriptomic, proteomic, and the combined datasets, emerging from a quantitative proteogenomic atlas of 15 sweet cherry...

Alternative Titles

Full title

Exploring the Robustness of Causal Structures in Omics Data: A Sweet Cherry Proteogenomic Perspective

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e59e0898770b40abb0851203a638d905

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e59e0898770b40abb0851203a638d905

Other Identifiers

ISSN

2073-4395

E-ISSN

2073-4395

DOI

10.3390/agronomy14010008

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