Genomics and Models of Nerve Sheath Tumors

Angela C. Hirbe

neurofibromatosis type 1; nerve sheath tumor; cancer; latent variables; machine learning; supervised learning; transfer learning; random forest; metaVIPER; tumor deconvolution; neurofibromatosis; malignant peripheral nerve sheath tumor

Nerve sheath tumors can be a significant cause of morbidity for many patients. These include benign tumors such as schwannomas, diffuse and plexiform neurofibromas, and atypical neurofibromas, as well as the aggressive soft tissue sarcoma known as the malignant peripheral nerve sheath tumor (MPNST). Nerve sheath tumors occur sporadically and in the context of the clinical neuro-genetic tumor predisposition syndromes neurofibromatosis type 1 (NF1) and type 2 (NF2). Historically, the mainstay of t

MDPI

Christine A. Pratilas,Rebecca D. Dodd

CC BY-NC-ND license

E book

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978-3-03943-490-9

Tài liệu từ nguồn mở: https://www.mdpi.com/books/reprint/3090-genomics-and-models-of-nerve-sheath-tumors

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