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 Perspective
About this item
Full title
Author / Creator
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
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
Authors, Artists and Contributors
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