reference/35608762

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/35608762

Outgoing Links

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contentType	Randomized Controlled Trial\|Journal Article\|Research Support, Non-U.S. Gov't
issn	2045-2322
issueIdentifier	1
pageRange	10697-
publicationName	Scientific Reports
startingPage	10697
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bibliographicCitation	Xiong Y, Kong X, Mei H, Wang J, Zhou S. Bioinformatics-based analysis of the relationship between disulfidptosis and prognosis and treatment response in pancreatic cancer. Sci Rep. 2023 Dec 14;13(1):22218. PMID: 38097783; PMCID: PMC10721597.
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date	2023-07-03^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://doi.org/10.1038/s41598-023-49752-4 https://pubmed.ncbi.nlm.nih.gov/38097783 https://doi.org/10.1038/s41598-023-37898-0 https://pubmed.ncbi.nlm.nih.gov/37400520 https://pubmed.ncbi.nlm.nih.gov/PMC10318051
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language	English
source	https://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/
title	Bioinformatics-based analysis of the relationship between disulfidptosis and prognosis and treatment response in pancreatic cancer
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