Statistical and machine learning based approaches to precise characterization of cellular phenotypes
| dc.contributor.guide | Sengupta, Debarka; Ghosh, Abhik and Ahuja, Gaurav | |
| dc.coverage.spatial | ||
| dc.creator.researcher | Gupta, Krishan | |
| dc.date.accessioned | 2022-04-26T12:57:16Z | |
| dc.date.available | 2022-04-26T12:57:16Z | |
| dc.date.awarded | ||
| dc.date.completed | 2021 | |
| dc.date.registered | ||
| dc.description.abstract | Available | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | None | |
| dc.format.dimensions | ||
| dc.format.extent | 129 p. | |
| dc.identifier.uri | http://hdl.handle.net/10603/376583 | |
| dc.language | English | |
| dc.publisher.institution | Computer Science and Engineering | |
| dc.publisher.place | Delhi | |
| dc.publisher.university | Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi) | |
| dc.relation | Reference p. 97-129 | |
| dc.rights | university | |
| dc.source.inflibnet | INFLIBNET | |
| dc.subject.keyword | Computer Science | |
| dc.subject.keyword | Computer Science Artificial Intelligence | |
| dc.subject.keyword | Engineering and Technology | |
| dc.title | Statistical and machine learning based approaches to precise characterization of cellular phenotypes | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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