Machine learning models for quantifying phenotypic signatures of cancer cells based on transcriptomic and epigenomic data – Martin Koban
Martin Koban
Master's thesis
Machine learning models for quantifying phenotypic signatures of cancer cells based on transcriptomic and epigenomic data
Language used: English
Date on which the thesis was submitted / produced: 18. 9. 2020
Thesis defence
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ISO 690-compliant citation record:
KOBAN, Martin. \textit{Machine learning models for quantifying phenotypic signatures of cancer cells based on transcriptomic and epigenomic data}. Online. Master's thesis. Brno: Brno University of Technology. 2020. Available from: https://theses.cz/id/rb85wt/.
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Published in Theses:- světu
Vysoké učení technické v Brně
Master programme:
Elektrotechnika, elektronika, komunikační a řídicí technika
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Skopal, M.
23/12/2021