VTrans: A VAE-Based Pre-Trained Transformer Method for Microbiome Data Analysis

Predicting the survival outcomes and assessing the risk of patients play a pivotal role in comprehending the microbial composition across various stages of cancer. With the ongoing advancements in deep learning, it has been substantiated that deep learning holds the potential to analyze patient surv...

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Vydané v:	Journal of computational biology Ročník 32; číslo 9; s. 850
Hlavní autori:	Shi, Xinyuan, Zhu, Fangfang, Min, Wenwen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.09.2025
Predmet:	Algorithms Computational Biology - methods Deep Learning Humans Microbiota - genetics Neoplasms - genetics Neoplasms - microbiology Neoplasms - mortality saliency map Transformer multihead-co-attention variational autoencoder microbiome data pretraining
ISSN:	1557-8666, 1557-8666
On-line prístup:	Zistit podrobnosti o prístupe
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