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DeepCelllify is introduced, a novel deep learning-based framework that harnesses convolutional neural networks (CNNs) to classify patients using their individual cell expression profiles, and demonstrates competitive performance compared to state-of-the-art approaches.
The coordinated alteration of freely circulating and EV-associated miRNAs highlight the potential contribution of miRNA-mediated regulation to premature HPG axis activation and provides a framework for further investigation of the molecular mechanisms underlying pubertal disorders.
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