Exploring salt tolerance mechanisms using machine learning for transcriptomic insights: case study i...
Exploring salt tolerance mechanisms using machine learning for transcriptomic insights: case study in Spartina alterniflora
About this item
Full title
Author / Creator
Huang, Zhangping , Chen, Shoukun , He, Kunhui , Yu, Tingxi , Fu, Junjie , Gao, Shang and Li, Huihui
Publisher
Oxford University Press
Journal title
Language
English
Formats
Publication information
Publisher
Oxford University Press
More information
Scope and Contents
Contents
Salt stress poses a significant threat to global cereal crop production, emphasizing the need for a comprehensive understanding of salt tolerance mechanisms. Accurate functional annotations of differentially expressed genes are crucial for gaining insights into the salt tolerance mechanism. The challenge of predicting gene functions in under-studie...
Alternative Titles
Full title
Exploring salt tolerance mechanisms using machine learning for transcriptomic insights: case study in Spartina alterniflora
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11101319
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11101319
Other Identifiers
ISSN
2052-7276,2662-6810
E-ISSN
2052-7276
DOI
10.1093/hr/uhae082
