M&M: an RNA-seq based pan-cancer classifier for paediatric tumoursResearch in context

M&M: an RNA-seq based pan-cancer classifier for paediatric tumoursResearch in context

Summary: Background: With many rare tumour types, acquiring the correct diagnosis is a challenging but crucial process in paediatric oncology. Historically, this is done based on histology and morphology of the disease. However, advances in genome wide profiling techniques such as RNA sequencing no...

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Main Authors: Fleur S.A. Wallis, John L. Baker-Hernandez, Marc van Tuil, Claudia van Hamersveld, Marco J. Koudijs, Eugène T.P. Verwiel, Alex Janse, Laura S. Hiemcke-Jiwa, Ronald R. de Krijger, Mariëtte E.G. Kranendonk, Marijn A. Vermeulen, Pieter Wesseling, Uta E. Flucke, Valérie de Haas, Maaike Luesink, Eelco W. Hoving, Josef H. Vormoor, Max M. van Noesel, Jayne Y. Hehir-Kwa, Bastiaan B.J. Tops, Patrick Kemmeren, Lennart A. Kester
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:EBioMedicine
Subjects:
Tumour classification
Paediatric oncology
RNA-seq
Machine learning
Ensemble modelling
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396424005425
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