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Prediction of Potential Natural Antibiotics Plants Based on Jamu Formula Using Random Forest Classifier.
Nasution, Ahmad Kamal; Wijaya, Sony Hartono; Gao, Pei; Islam, Rumman Mahfujul; Huang, Ming; Ono, Naoaki; Kanaya, Shigehiko; Altaf-Ul-Amin, Md.
Afiliación
  • Nasution AK; Computational Systems Biology Lab, Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara 630-0101, Japan.
  • Wijaya SH; Department of Computer Science, Faculty of Mathematics and Natural Sciences, IPB University, Bogor 16680, Indonesia.
  • Gao P; Computational Systems Biology Lab, Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara 630-0101, Japan.
  • Islam RM; Computational Systems Biology Lab, Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara 630-0101, Japan.
  • Huang M; Computational Systems Biology Lab, Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara 630-0101, Japan.
  • Ono N; Computational Systems Biology Lab, Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara 630-0101, Japan.
  • Kanaya S; Computational Systems Biology Lab, Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara 630-0101, Japan.
  • Altaf-Ul-Amin M; Computational Systems Biology Lab, Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara 630-0101, Japan.
Antibiotics (Basel) ; 11(9)2022 Sep 05.
Article en En | MEDLINE | ID: mdl-36139978
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Antibiotics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Suiza
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Antibiotics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Suiza