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. 2021 Nov 12;3(4):lqab104. doi: 10.1093/nargab/lqab104

Figure 2.

Figure 2.

An accuracy chart of 5way-5shot task with TCGA dataset. (A) An 5-way 5-shot accuracy chart during fine-tuning with TCGA pan-cancer dataset. Both red and blue lines used 15 samples for each of 33 different cancer types. The red line is pre-trained with GTEx dataset, and the blue line is randomly initialized. (B) Accuracy score varying number of classes during fine-tuning. Red lines are pre-trained models and blue lines are randomly initialized models. Number of samples is fixed to 15. Dotted line is average score of tests and colored are is a 95% confidence interval. (C) Accuracy score varying number of samples during fine-tuning. Red lines are pre-trained models and blue lines are randomly initialized models. Number of classes is fixed to five. Dotted line is average score of tests and colored are is a 95% confidence interval. (D) Illustration to compare learning processes for both variables, pre-training and given data sizes in fine-tuning. Created with BioRender.com.