Computer vision based deep learning to predict precursor mirna in human genome
| dc.contributor.guide | Prasad, Sanjiva and Maheshwari, S.N. | |
| dc.coverage.spatial | Amar Nath and Shashi Khosla School of Information Technology | |
| dc.creator.researcher | Singhal, Ankit | |
| dc.date.accessioned | 2022-12-06T04:56:25Z | |
| dc.date.available | 2022-12-06T04:56:25Z | |
| dc.date.awarded | 2021 | |
| dc.date.completed | 2021 | |
| dc.date.registered | ||
| dc.description.abstract | Abstract Available | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | DVD | |
| dc.format.dimensions | ||
| dc.format.extent | ||
| dc.identifier.uri | http://hdl.handle.net/10603/421748 | |
| dc.language | English | |
| dc.publisher.institution | Amar Nath and Shashi Khosla School of Information Technology | |
| dc.publisher.place | Delhi | |
| dc.publisher.university | Indian Institute of Technology Delhi | |
| dc.relation | TH-6563 | |
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Computer Science | |
| dc.subject.keyword | Computer Science Information Systems | |
| dc.subject.keyword | Engineering and Technology | |
| dc.title | Computer vision based deep learning to predict precursor mirna in human genome | |
| dc.title.alternative | Na | |
| dc.type.degree | Ph.D. |
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