Supervised Learning for Prediction of Tumour Mutational Burden
Tumour Mutational Burden is a promising biomarker to predict response to immunotherapy. In this thesis, statistical methods of supervised learning were used to predict TMB: GLM, Decision Trees and SVM. Predictions were based on data from targeted DNA sequencing, using variants found in the exonic, i...
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| Format: | Others |
| Language: | English |
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KTH, Matematisk statistik
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-291801 |