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...
Main Authors: | Anastasia Zompola, Aigli Korfiati, Konstantinos Theofilatos, Seferina Mavroudi |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-11-01
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Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023083731 |
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