Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/248636| Title: | Deconvolution of “big data” in cancer genomics: from pancancer level to single cells |
| Authors: | Chepeleva, M. Wang, Y. Kakoichankava, A. Muller, A. Kaoma, T. Nazarov, P. V. |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика |
| 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. 7-11. |
| Abstract: | Large genomics pan-cancer datasets that were made publically available in the last decade are now complemented with measurements at single cell level and may include up to a billion data points. Here we show how deconvolution method based on independent component analysis can process transcriptomes measured for bulk samples at pan-cancer level and for single-cell measurements from normal tissues and neoplasia |
| Description: | Cекция «Компьютерное моделирование процессов и систем» |
| URI: | https://elib.bsu.by/handle/123456789/248636 |
| ISBN: | 978-985-566-942-6 |
| Appears in Collections: | 2020. Компьютерные технологии и анализ данных (CTDA’2020) |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.