Advance Genome Disorder Prediction Model Empowered With Deep Learning

A major and essential issue in biomedical research is to predict genome disorder. Genome disorders cause multivariate diseases like cancer, dementia, diabetes, cystic fibrosis, leigh syndrome, etc. which are causes of high mortality rates around the world. In past, theoretical and explanatory-based...

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Veröffentlicht in:	IEEE access 2022, Vol.10, p.70317-70328
Hauptverfasser:	Atta-Ur-Rahman, Nasir, Muhammad Umar, Gollapalli, Mohammed, Zubair, Muhammad, Saleem, Muhammad Aamer, Mehmood, Shahid, Khan, Muhammad Adnan, Mosavi, Amir
Format:	Artikel
Sprache:	eng
Schlagworte:	AlexNet artificial intelligence Artificial neural networks Bioinformatics Biomedical research Computer architecture convolutional neural network Cystic fibrosis Data science Deep learning Diseases Disorders Genetics Genome disorder Genomes Genomics information systems machine learning Mortality Neural networks Prediction algorithms Prediction models Predictions Predictive models Ribonucleic acid RNA
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