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Predicting development of ALS disease with AI methods
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Predicting development of ALS disease with AI methods

by Bielefeld University The architecture of DiseaseCapsule. The input is the concatenation of the compressed features from all Gene-PCA models, where each feature corresponds to one Gene-PCA. The number of Gene-PCAs is 75,584, so the dimensionality of the input is 75,584 × 1. DiseaseCapsule consists of three layers: a fully connected layer (FC), a primary capsule layer...

AI methods of analyzing social networks find new cell types in tissue
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AI methods of analyzing social networks find new cell types in tissue

UPPSALA UNIVERSITY IMAGE: MESSENGER RNA IN A SMALL PART OF THE HIPPOCAMPUS FROM A MOUSE BRAIN. THE COLOURS REPRESENT DIFFERENT “SOCIAL NETWORKS “. In situ sequencing enables gene activity inside body tissues to be depicted in microscope images. To facilitate interpretation of the vast quantities of information generated, Uppsala University researchers have now developed an entirely new...