TULIP: An RNA-seq-based Primary Tumor Type Prediction Tool Using Convolutional Neural Networks

BACKGROUND: With cancer as one of the leading causes of death worldwide, accurate primary tumor type prediction is critical in identifying genetic factors that can inhibit or slow tumor progression. There have been efforts to categorize primary tumor types with gene expression data using machine lea...

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Detalles Bibliográficos
Autores principales: Jones, Sara, Beyers, Matthew, Shukla, Maulik, Xia, Fangfang, Brettin, Thomas, Stevens, Rick, Weil, M Ryan, Ranganathan Ganakammal, Satishkumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729992/
https://www.ncbi.nlm.nih.gov/pubmed/36507076
http://dx.doi.org/10.1177/11769351221139491

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729992/
https://www.ncbi.nlm.nih.gov/pubmed/36507076
http://dx.doi.org/10.1177/11769351221139491

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