CAEM-GBDT: a cancer subtype identifying method using multi-omics data and convolutional autoencoder network

The identification of cancer subtypes plays a very important role in the field of medicine. Accurate identification of cancer subtypes is helpful for both cancer treatment and prognosis Currently, most methods for cancer subtype identification are based on single-omics data, such as gene expression...

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Vydané v:	Frontiers in bioinformatics Ročník 4; s. 1403826
Hlavní autori:	Shen, Jiquan, Guo, Xuanhui, Bai, Hanwen, Luo, Junwei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland Frontiers Media S.A 15.07.2024
Predmet:	Bioinformatics cancer subtype cancer subtype identification convolutional autoencode convolutional block attention module multi-omics cancer subtype identification multi-omics convolutional autoencode cancer subtype convolutional block attention module
ISSN:	2673-7647, 2673-7647
On-line prístup:	Získať plný text
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