reference/36855420

Predicate	Object
contentType	Journal Article
issn	1746-4811
issueIdentifier	1
pageRange	33-
publicationName	Plant Methods
startingPage	33
hasFundingAgency	http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_ad534ef010d4e618ba5725b5c5cade50 http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_7223141eb5be6415accaf8771d5d85e4
bibliographicCitation	Chang L, Jin X, Rao Y, Zhang X. Predicting abiotic stress-responsive miRNA in plants based on multi-source features fusion and graph neural network. Plant Methods. 2024 Feb 24;20(1):33. PMID: 38402152; PMCID: PMC10894500.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_68e03c1fc87b094f478ac9d863511879 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_ab82d996639dd7b3dc42fc2da5432b10 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_8ba864b1258f9ec79e36e96750fe8a3a http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_04810c0d0e5fb32f379440b7c927f228
date	2024-02-24^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://doi.org/10.1186/s13007-024-01158-7 https://pubmed.ncbi.nlm.nih.gov/38402152 https://pubmed.ncbi.nlm.nih.gov/PMC10894500
isPartOf	https://portal.issn.org/resource/ISSN/1746-4811 http://rdf.ncbi.nlm.nih.gov/pubchem/journal/32399
language	English
source	https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/
title	Predicting abiotic stress-responsive miRNA in plants based on multi-source features fusion and graph neural network

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