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References from Comparative Analysis of Classical Machine Learning and Deep Learning Regression Models for Codon-Level k-mer Composition Analysis of the Nipah Virus Genome. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
External reference
Recurrent zoonotic transmission of Nipah virus into humans
2009 · External reference
Hendra and Nipah viruses: different and dangerous
10.1038/nrmicro1323 · 2006 · External reference
Unresolved reference
2000 · External reference
Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study
10.1371/journal.pone.0232391 · 2020 · External reference
Prediction of protein cellular attributes using pseudo-amino acid composition, Proteins
2001 · External reference
The codon adaptation index — a measure of directional synonymous codon usage bias, and its potential applications
10.1093/nar/15.3.1281 · 1987 · External reference
Machine Learning-Based Classification of SARS-CoV-2 Structural Proteins Using Amino Acid Composition Analysis
2026 · External reference
Codon usage and tRNA content in unicellular and multicellular organisms
1985 · External reference
Unresolved reference
2009 · External reference
Unresolved reference
External reference
Scikit-learn: Machine Learning in Python
2011 · External reference
Support-vector networks
10.1023/a:1022627411411 · 1995 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
Unresolved reference
External reference
Long short-term memory
10.1162/neco.1997.9.8.1735 · 1997 · External reference
Finding structure in time
10.1207/s15516709cog1402_1 · 1990 · External reference
Unresolved reference
2016 · External reference
10.32604/cmc.2021.017835
10.32604/cmc.2021.017835 · External reference
