| 000 | 00933nam a22002537a 4500 | ||
|---|---|---|---|
| 003 | IIITD | ||
| 005 | 20221012175839.0 | ||
| 008 | 211129b xxu||||| |||| 00| 0 eng d | ||
| 040 | _aIIITD | ||
| 082 | _aREF CSE 2021 | ||
| 100 | _aGupta, Krishan | ||
| 245 |
_aStatistical and machine learning-based approaches to precise characterization of cellular phenotypes _cby Krishsan Gupta, Debarka Sengupta (Advisor), Abhik Ghosh (Advisor) and Gaurav Ahuja (Advisor) |
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| 260 |
_aNew Delhi : _bIIIT-Delhi, _c©2021 |
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| 300 |
_axv, 129 p. : _bill. ; _c30 cm. |
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| 650 | _aRNA species | ||
| 650 | _aSingle-cell expression studies | ||
| 650 | _aPseudotemporal analysis | ||
| 650 | _aSingle Circulating Tumor Cells (CTCs) | ||
| 700 |
_aSengupta, Debarka _eAdvisor |
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| 700 |
_aGhosh, Abhik _eAdvisor |
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| 700 |
_aAhuja, Gaurav _eAdvisor |
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| 856 | _uhttps://shodhganga.inflibnet.ac.in/handle/10603/376583 | ||
| 942 |
_2ddc _cTH |
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| 999 |
_c156658 _d156658 |
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