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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Scalable transcriptomics analysis with Dask: applications in data science and machine learning

Fig. 1

Supervised learning for predicting cancer-related phenotypes from gene expression data. a Classification identifies target labels, including cancer subtypes; b regression can predict progression and outcome measures, such as disease-free intervals. After the data is partitioned into training and test sets, a ML algorithm is fit on the training data. The model is evaluated using hold-out test data

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