Article

A transcriptomics-based meta-analysis combined with machine learning approach identifies a secretory biomarker panel for diagnosis of pancreatic adenocarcinoma

2020-04-22

Abstract excerpt

Pancreatic ductal adenocarcinoma (PDAC) is largely incurable due to late diagnosis and absence of markers that are concordant with expression in several sample sources (i.e. tissue, blood, plasma) and platform (i.e. Microarray, sequencing). We optimized meta-analysis of 19 PDAC (tissue and blood) transcriptome studies from multiple platforms. The key biomarkers for PDAC diagnosis with secretory potential were iden...

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Literature Corpus work: 815a3d65-4638-55ae-86eb-5ba5747110aa
DOI: 10.1101/2020.04.16.20061515

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