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Prediction of high anti-angiogenic activity peptides in silico using a generalized linear model and feature selection
Screening and in silico modeling are critical activities for the reduction of experimental costs. They also speed up research notably and strengthen the theoretical framework, thus allowing researchers to numerically quantify the importance of a particular subset of information. For example, in fiel...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6200741/ https://www.ncbi.nlm.nih.gov/pubmed/30356060 http://dx.doi.org/10.1038/s41598-018-33911-z |