Omics-CNN: A comprehensive pipeline for predictive analytics in quantitative omics using one-dimensional convolutional neural networks

Background and objective: The development of machine learning-based models that can be used for the prediction of severe diseases has been one of the main concerns of the scientific community. The current study seeks to expand a highly sophisticated tool, the Convolutional Neural Networks, making it...

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Bibliografske podrobnosti

Principais autores:	Anastasia Zompola, Aigli Korfiati, Konstantinos Theofilatos, Seferina Mavroudi
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2023-11-01
Serija:	Heliyon
Teme:	Convolutional neural networks Transcriptomics Personalized medicine Covid-19 Ischemic stroke
Online dostop:	http://www.sciencedirect.com/science/article/pii/S2405844023083731
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