Assessing the complementary information from an increased number of biologically relevant features in liquid biopsy-derived RNA-Seq data

Assessing the complementary information from an increased number of biologically relevant features in liquid biopsy-derived RNA-Seq data

Liquid biopsy-derived RNA sequencing (lbRNA-seq) exhibits significant promise for clinic-oriented cancer diagnostics due to its non-invasiveness and ease of repeatability. Despite substantial advancements, obstacles like technical artefacts and process standardisation impede seamless clinical integr...

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Bibliographic Details
Main Authors:	Stavros Giannoukakos, Silvia D'Ambrosi, Danijela Koppers-Lalic, Cristina Gómez-Martín, Alberto Fernandez, Michael Hackenberg
Format:	Article
Language:	English
Published:	Elsevier 2024-03-01
Series:	Heliyon
Subjects:	Liquid biopsy Bioinformatics Machine learning Transcriptomics RNA-Seq lbRNA-seq
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405844024033917

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