Computational predictions for protein sequences of COVID-19 virus via machine learning algorithms.
The rapid spread of coronavirus disease (COVID-19) has become a worldwide pandemic and affected more than 15 million patients reported in 27 countries. Therefore, the computational biology carrying this virus that correlates with the human population urgently needs to be understood. In this paper, t...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 59; no. 9; pp. 1723 - 1735 |
|---|---|
| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2021
|
| Acceso en línea: | Ver este registro en EBSCOhost |