Biclustering algorithms represent a key methodological advance in analysing gene expression data, enabling simultaneous clustering of both genes and experimental conditions. This dual clustering ...
Using whole-slide hematoxylin and eosin images from 214 patients with glioblastoma in The Cancer Genome Atlas (TCGA), a fine-tuned convolutional neural network model extracted deep learning features.
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