A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes Identification

Essential genes contain key information of genomes that could be the key to a comprehensive understanding of life and evolution. Because of their importance, studies of essential genes have been considered a crucial problem in computational biology. Computational methods for identifying essential ge...

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Veröffentlicht in:	International journal of molecular sciences 2020-11, Vol.21 (23), p.9070
Hauptverfasser:	Le, Nguyen Quoc Khanh, Do, Duyen Thi, Hung, Truong Nguyen Khanh, Lam, Luu Ho Thanh, Huynh, Tuan-Tu, Nguyen, Ngan Thi Kim
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Area Under Curve Computer applications Correlation coefficients Datasets Deep Learning Deoxyribonucleic acid DNA Evolutionary genetics Experiments Gene expression Genes Genes, Essential Genomes Genomics Language Learning algorithms Machine learning Microorganisms Natural language processing Neural networks Neural Networks, Computer Nucleotide sequence Optimization Organisms Proteins Reproducibility of Results Salmonella Sequence Analysis, DNA Species Specificity Support vector machines
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