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Prediction and Mechanistic Dissection of Transcriptional Activation Domains Using Deep Learning and Pooled Screening
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Prediction and Mechanistic Dissection of Transcriptional Activation Domains Using Deep Learning and Pooled Screening. |
| 개인저자 | Sanborn, Adrian Longson. |
| 단체저자명 | Stanford University. |
| 발행사항 | [S.l.]: Stanford University., 2021. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2021. |
| 형태사항 | 103 p. |
| 기본자료 저록 | Dissertations Abstracts International 83-05B. Dissertation Abstract International |
| ISBN | 9798494455307 |
| 학위논문주기 | Thesis (Ph.D.)--Stanford University, 2021. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
Advisor: Dror, Ron;Kornberg, Roger;Kundaje, Anshul. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Signal transduction. RNA polymerase. Deep learning. Nuclear magnetic resonance--NMR. Mutation. Cloning. Neural networks. Amino acids. Genomes. Estrogens. Genes. Roles. Transcription factors. Artificial intelligence. Biochemistry. Chemistry. Medical imaging. Genetics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
