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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Kim, Donghyuk | - |
| dc.contributor.author | Park, Joon Young | - |
| dc.date.accessioned | 2025-04-04T13:48:56Z | - |
| dc.date.available | 2025-04-04T13:48:56Z | - |
| dc.date.issued | 2025-02 | - |
| dc.description.degree | Doctor | - |
| dc.description | School of Energy and Chemical Engineering (Chemical Engineering) | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/86429 | - |
| dc.identifier.uri | http://unist.dcollection.net/common/orgView/200000865438 | - |
| dc.language | ENG | - |
| dc.publisher | Ulsan National Institute of Science and Technology | - |
| dc.rights.embargoReleaseDate | 9999-12-31 | - |
| dc.rights.embargoReleaseTerms | 9999-12-31 | - |
| dc.subject | Transcriptional regulatory networks | - |
| dc.subject | machine Learning-based transcriptome analysis | - |
| dc.subject | ChIP-exo | - |
| dc.subject | ChIP-mini | - |
| dc.subject | RNA-seq | - |
| dc.subject | iModulon | - |
| dc.title | Deciphering Bacterial Transcriptional Regulatory Networks Through an Optimized ChIP-exo Method and Machine Learning-Based Transcriptome Analysis | - |
| dc.type | Thesis | - |
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