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DDR: efficient computational method to predict drug–target interactions using graph mining and machine learning approaches
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198857/ https://www.ncbi.nlm.nih.gov/pubmed/29917050 http://dx.doi.org/10.1093/bioinformatics/bty417 |
| _version_ | 1783365030299828224 |
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| author | Olayan, Rawan S Ashoor, Haitham Bajic, Vladimir B |
| author_facet | Olayan, Rawan S Ashoor, Haitham Bajic, Vladimir B |
| author_sort | Olayan, Rawan S |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-6198857 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2018 |
| publisher | Oxford University Press |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-61988572018-10-26 DDR: efficient computational method to predict drug–target interactions using graph mining and machine learning approaches Olayan, Rawan S Ashoor, Haitham Bajic, Vladimir B Bioinformatics Corrigenda Oxford University Press 2018-11-01 2018-06-15 /pmc/articles/PMC6198857/ /pubmed/29917050 http://dx.doi.org/10.1093/bioinformatics/bty417 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License(http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contactjournals.permissions@oup.com |
| spellingShingle | Corrigenda Olayan, Rawan S Ashoor, Haitham Bajic, Vladimir B DDR: efficient computational method to predict drug–target interactions using graph mining and machine learning approaches |
| title | DDR: efficient computational method to predict drug–target interactions using graph mining and machine learning approaches |
| title_full | DDR: efficient computational method to predict drug–target interactions using graph mining and machine learning approaches |
| title_fullStr | DDR: efficient computational method to predict drug–target interactions using graph mining and machine learning approaches |
| title_full_unstemmed | DDR: efficient computational method to predict drug–target interactions using graph mining and machine learning approaches |
| title_short | DDR: efficient computational method to predict drug–target interactions using graph mining and machine learning approaches |
| title_sort | ddr: efficient computational method to predict drug–target interactions using graph mining and machine learning approaches |
| topic | Corrigenda |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198857/ https://www.ncbi.nlm.nih.gov/pubmed/29917050 http://dx.doi.org/10.1093/bioinformatics/bty417 |
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