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Machine learning finds Cas9-edited genotypes
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bae, Sangsu | - |
| dc.contributor.author | Kim, Jin-Soo | - |
| dc.date.accessioned | 2024-12-20T07:42:35Z | - |
| dc.date.available | 2024-12-20T07:42:35Z | - |
| dc.date.issued | 2018-12 | - |
| dc.identifier.issn | 2157-846X | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/203581 | - |
| dc.description.abstract | A machine-learning algorithm reliably predicts Cas9-edited genotypes arising from the repair of DNA double-strand breaks in mouse cells and human cells. © 2018, Springer Nature Limited. | - |
| dc.format.extent | 2 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | NATURE RESEARCH | - |
| dc.title | Machine learning finds Cas9-edited genotypes | - |
| dc.type | Article | - |
| dc.publisher.location | 독일 | - |
| dc.identifier.doi | 10.1038/s41551-018-0327-6 | - |
| dc.identifier.scopusid | 2-s2.0-85058045010 | - |
| dc.identifier.wosid | 000452798500007 | - |
| dc.identifier.bibliographicCitation | NATURE BIOMEDICAL ENGINEERING, v.2, no.12, pp 892 - 893 | - |
| dc.citation.title | NATURE BIOMEDICAL ENGINEERING | - |
| dc.citation.volume | 2 | - |
| dc.citation.number | 12 | - |
| dc.citation.startPage | 892 | - |
| dc.citation.endPage | 893 | - |
| dc.type.docType | Editorial Material | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Biomedical | - |
| dc.subject.keywordPlus | GENOMIC DNA | - |
| dc.subject.keywordPlus | BASE | - |
| dc.identifier.url | https://www.nature.com/articles/s41551-018-0327-6 | - |
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