Identification of molecular biomarkers and pathways of NSCLC: insights from a systems biomedicine pe...
Identification of molecular biomarkers and pathways of NSCLC: insights from a systems biomedicine perspective
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Cairo: Springer
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English
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Cairo: Springer
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Background Worldwide, more than 80% of identified lung cancer cases are associated to the non-small cell lung cancer (NSCLC). We used microarray gene expression dataset GSE10245 to identify key biomarkers and associated pathways in NSCLC. Results To collect Differentially Expressed Genes (DEGs) from the dataset GSE10245, we applied the R statistica...
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Identification of molecular biomarkers and pathways of NSCLC: insights from a systems biomedicine perspective
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7979844
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7979844
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ISSN
1687-157X
E-ISSN
2090-5920
DOI
10.1186/s43141-021-00134-1