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Fig. 1 | Journal of Translational Medicine

Fig. 1

From: Classification of tumor types using XGBoost machine learning model: a vector space transformation of genomic alterations

Fig. 1

A Table showing the dataset used in this study and bar chart displaying the size of each tumor, in terms of number of samples, and the division of the most represented cancer types (N = 18) into groups, based on biological criteria (endocrine-related cancers, other carcinomas and other tumors). The total count for each tumor is reported. B Bar chart showing the arithmetic average related to somatic point mutations (SPMs) and copy number variations (CNVs) at chromosome arm-level considering the whole dataset

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Journal of Translational Medicine

ISSN: 1479-5876

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