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https://elib.bsu.by/handle/123456789/248662| Title: | Independent component analysis of cancer transcriptomes: optimization of parameters and improvement of interpretability |
| Authors: | Chepeleva, M. Kakoichankava, A. Yatskou, M. M. Nazarov, P. V. |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Биология |
| Issue Date: | 2020 |
| Publisher: | Минск : БГУ |
| Citation: | Компьютерные технологии и анализ данных (CTDA’2020) : материалы II Междунар. науч.-практ. конф., Минск, 23–24 апр. 2020 г. / Белорус. гос. ун-т ; редкол.: В. В. Скакун (отв. ред.) [и др.]. – Минск : БГУ, 2020. – С. 170-173. |
| Abstract: | Here we estimated the optimal parameters of the independent component analysis method regarding the tasks of identification of glioblastoma and pancreatic cancer subtypes, prediction of patient survival and characterization of active biological processes. Analysis of deconvolution results of bulk and single-cell data allows sharing annotation between highly correlated components and improving interpretability of the results |
| Description: | Секция «Биоинформатика» |
| URI: | https://elib.bsu.by/handle/123456789/248662 |
| ISBN: | 978-985-566-942-6 |
| Appears in Collections: | 2020. Компьютерные технологии и анализ данных (CTDA’2020) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 170-173.pdf | 852,73 kB | Adobe PDF | View/Open |
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