M&M: an RNA-seq based pan-cancer classifier for paediatric tumours

Financial support was provided by the Foundation Children Cancer Free (KiKa core funding) and Adessium Foundation.

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Publication Details

Journal
EBioMedicine
Published
2024-12-21
DOI
https://doi.org/10.1016/j.ebiom.2024.105506
Citations
3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.21

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M&M: an RNA-seq based pan-cancer classifier for paediatric tumours

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3 citations
EBioMedicine
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1.21
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M&M: an RNA-seq based pan-cancer classifier for paediatric tumours

F. Wallis, Uta Flucke, Eugène T.P. Verwiel, Marijn A. Vermeulen, Laura S. Hiemcke‐Jiwa, Max M. van Noesel, Marco J. Koudijs, Josef H. Vormoor, Bastiaan B.J. Tops, Jayne Y. Hehir‐Kwa, Mariëtte E.G. Kranendonk, Eelco W. Hoving, Pieter Wesseling, Maaike Luesink, Ronald R. de Krijger, Patrick Kemmeren, John Baker-Hernandez, Lennart A. Kester, Marc van Tuil, Alex Janse, Claudia van Hamersveld, Válerie de Haas
article en
3 citations

Abstract

Financial support was provided by the Foundation Children Cancer Free (KiKa core funding) and Adessium Foundation.

EBioMedicineVol. 111
Princess Máxima Center (NL)
Children’s Cancer Foundation, Stichting Kinderen Kankervrij, Adessium Foundation
Openalex Percentile: Top 19%
Radiomics and Machine Learning in Medical Imaging
1.21
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