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Please use this identifier to cite or link to this item: 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)

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