A bioinformatics exploration of lung adenocarcinoma identifies hub genes with prognostic significanc...
A bioinformatics exploration of lung adenocarcinoma identifies hub genes with prognostic significance: from data to discovery
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Cairo: Springer
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Language
English
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Publisher
Cairo: Springer
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Background Lung adenocarcinoma (LUAD) is one of the main forms of carcinomas that contribute towards cancer-related mortality and morbidity. Identification of hub genes through various in silico approaches can lead to the successful prognosis of LUAD and may serve in reducing mortalities rising from it respectively. Method This research employs an...
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A bioinformatics exploration of lung adenocarcinoma identifies hub genes with prognostic significance: from data to discovery
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TN_cdi_proquest_journals_3203374766
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3203374766
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ISSN
1110-0362
E-ISSN
2589-0409
DOI
10.1186/s43046-025-00273-3