Fig. 6From: Multiple instance neural networks based on sparse attention for cancer detection using T-cell receptor sequencesHeatmap of extracted features via the sparsemax (left) and softmax (right) function. Values are min-max normalized and transformed in log-scale. Red and green labels indicate tumor and normal samples, respectively. Here, we show the balanced case for DLBC cancer dataBack to article page