Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/74506| Título: | Propythia: a Python automated platform for the classification of proteins using machine learning |
| Autor(es): | Sequeira, Ana Lousa, Diana Rocha, Miguel |
| Palavras-chave: | Bioinformatics Ontologies Cancer Machine learning Protein/Peptide classification Python package |
| Data: | 2021 |
| Editora: | Springer International Publishing |
| Revista: | Advances in Intelligent Systems and Computing |
| Citação: | Sequeira, Ana; Lousa, Diana; Rocha, Miguel, Propythia: a Python automated platform for the classification of proteins using machine learning. PACBB 2020 - 14th International Conference Practical Applications of Computational Biology & Bioinformatics. Vol. Advances in Intelligent Systems and Computing 1240, L'Aquila, Italy, Oct 7-9, Springer International Publishing, 32-41, 2021. ISBN: 978-3-030-54568-0 |
| Resumo(s): | A challenging problem in Bioinformatics is to predict protein structure, properties, activities or interactions from their aminoacid sequences. Sequence-derived physicochemical features of proteins have been used to support the development of Machine Learning (ML) models. However, tools and platforms to calculate features from protein sequences and train ML models are scarce and have limitations in terms of performance, user-friendliness and domains of application. |
| Tipo: | Artigo em ata de conferência |
| URI: | https://hdl.handle.net/1822/74506 |
| ISBN: | 978-3-030-54568-0 |
| DOI: | 10.1007/978-3-030-54568-0_4 |
| ISSN: | 2194-5357 |
| Versão da editora: | https://link.springer.com/chapter/10.1007%2F978-3-030-54568-0_4 |
| Arbitragem científica: | yes |
| Acesso: | Acesso restrito UMinho |
| Aparece nas coleções: |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| document_53836_1.pdf Acesso restrito! | 448,81 kB | Adobe PDF | Ver/Abrir |
