A principal component regression model for predicting phytochemical binding to the H. pylori CagA protein

Journal article

Jose Isagani Janairo
Network Modeling Analysis in Health Informatics and Bioinformatics, vol. 9, Springer, 2020, p. 45

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APA Click to copy
Janairo, J. I. (2020). A principal component regression model for predicting phytochemical binding to the H. pylori CagA protein. Network Modeling Analysis in Health Informatics and Bioinformatics, 9, 45.

Chicago/Turabian Click to copy
Janairo, Jose Isagani. “A Principal Component Regression Model for Predicting Phytochemical Binding to the H. Pylori CagA Protein.” Network Modeling Analysis in Health Informatics and Bioinformatics 9 (2020): 45.

MLA Click to copy
Janairo, Jose Isagani. “A Principal Component Regression Model for Predicting Phytochemical Binding to the H. Pylori CagA Protein.” Network Modeling Analysis in Health Informatics and Bioinformatics, vol. 9, Springer, 2020, p. 45.

BibTeX Click to copy

@article{janairo2020a,
  title = {A principal component regression model for predicting phytochemical binding to the H. pylori CagA protein},
  year = {2020},
  journal = {Network Modeling Analysis in Health Informatics and Bioinformatics},
  pages = {45},
  publisher = {Springer},
  volume = {9},
  author = {Janairo, Jose Isagani}
}