Please use this identifier to cite or link to this item:
https://biore.bio.bg.ac.rs/handle/123456789/8231| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Rodic, A. | en_US |
| dc.contributor.author | Tumbas, M. | en_US |
| dc.contributor.author | Kondev, J. | en_US |
| dc.contributor.author | Djordjevic, M. | en_US |
| dc.contributor.author | Đorđević, M. | en_US |
| dc.date.accessioned | 2026-02-24T09:05:22Z | - |
| dc.date.available | 2026-02-24T09:05:22Z | - |
| dc.date.issued | 2024-12 | - |
| dc.identifier.uri | https://biore.bio.bg.ac.rs/handle/123456789/8231 | - |
| dc.publisher | Serbian Academy of Sciences and Arts | en_US |
| dc.title | Identifying key parameters for rapid CRISPR-Cas derepression using computational and machine learning techniques | en_US |
| dc.type | Article | en_US |
| dc.relation.conference | AI 2024 - Artificial Intelligence Conference, December 26-27, Belgrade, Serbia | en_US |
| dc.relation.publication | Book of abstracts | en_US |
| dc.description.rank | M34 | en_US |
| dc.description.startpage | 83 | en_US |
| dc.description.endpage | 84 | en_US |
| item.grantfulltext | none | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| item.cerifentitytype | Publications | - |
| item.openairetype | Article | - |
| item.fulltext | No Fulltext | - |
| crisitem.author.dept | Chair of General Physiology and Biophysics | - |
| crisitem.author.dept | Chair of General Physiology and Biophysics | - |
| crisitem.author.dept | Chair of General Physiology and Biophysics | - |
| crisitem.author.orcid | 0000-0003-2872-9066 | - |
| crisitem.author.orcid | 0000-0003-1735-4131 | - |
| crisitem.author.orcid | 0000-0002-2903-3119 | - |
| crisitem.author.parentorg | Institute of Physiology and Biochemistry "Ivan Djaja" | - |
| crisitem.author.parentorg | Institute of Physiology and Biochemistry "Ivan Djaja" | - |
| crisitem.author.parentorg | Institute of Physiology and Biochemistry "Ivan Djaja" | - |
| Appears in Collections: | Conference abstract | |
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