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- Publisher Website: 10.1093/jamia/ocab214
- Scopus: eid_2-s2.0-85123227625
- PMID: 34651187
- WOS: WOS:000740719600029
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Article: Erratum: GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction (Journal of the American Medical Informatics Association (ocab162) DOI: 10.1093/jamia/ocab162)
Title | Erratum: GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction (Journal of the American Medical Informatics Association (ocab162) DOI: 10.1093/jamia/ocab162) |
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Authors | |
Issue Date | 2022 |
Citation | Journal of the American Medical Informatics Association, 2022, v. 29, n. 1, p. 220 How to Cite? |
Abstract | When this paper was first published, there were a number of formatting problems in the pdf version of the paper, especially affecting the equations. The html version of the paper was correct. These errors were not due to author error, and the publisher apologizes for these errors. These errors have now been corrected online. |
Persistent Identifier | http://hdl.handle.net/10722/330468 |
ISSN | 2023 Impact Factor: 4.7 2023 SCImago Journal Rankings: 2.123 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Yang, Jiannan | - |
dc.contributor.author | Xu, Zhongzhi | - |
dc.contributor.author | Wu, William Ka Kei | - |
dc.contributor.author | Chu, Qian | - |
dc.contributor.author | Zhang, Qingpeng | - |
dc.date.accessioned | 2023-09-05T12:10:56Z | - |
dc.date.available | 2023-09-05T12:10:56Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Journal of the American Medical Informatics Association, 2022, v. 29, n. 1, p. 220 | - |
dc.identifier.issn | 1067-5027 | - |
dc.identifier.uri | http://hdl.handle.net/10722/330468 | - |
dc.description.abstract | When this paper was first published, there were a number of formatting problems in the pdf version of the paper, especially affecting the equations. The html version of the paper was correct. These errors were not due to author error, and the publisher apologizes for these errors. These errors have now been corrected online. | - |
dc.language | eng | - |
dc.relation.ispartof | Journal of the American Medical Informatics Association | - |
dc.title | Erratum: GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction (Journal of the American Medical Informatics Association (ocab162) DOI: 10.1093/jamia/ocab162) | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1093/jamia/ocab214 | - |
dc.identifier.pmid | 34651187 | - |
dc.identifier.scopus | eid_2-s2.0-85123227625 | - |
dc.identifier.volume | 29 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 220 | - |
dc.identifier.epage | - | |
dc.identifier.eissn | 1527-974X | - |
dc.identifier.isi | WOS:000740719600029 | - |