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Fig. 1 | Journal of Translational Medicine

Fig. 1

From: Machine learning to improve interpretability of clinical, radiological and panel-based genomic data of glioma grade 4 patients undergoing surgical resection

Fig. 1

Distribution and classification of the gene mutations found in the 102 sequenced GG4 cases. The distribution of the type of mutations (e.g. missense mutations, nonsense mutations and multihit) and mutation frequencies for the 20 genes most frequently found mutated are shown. The number of mutated cases for each gene is also shown

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