Výsledky vyhledávání - "variational graph convolutional autoencoder"

CVAM: CNA Profile Inference of the Spatial Transcriptome Based on the VGAE and HMM Autor Ma, Jian, Guo, Jingjing, Fan, Zhiwei, Zhao, Weiling, Zhou, Xiaobo

“…Tumors are often polyclonal due to copy number alteration (CNA) events. Through the CNA profile, we can understand the tumor heterogeneity and consistency. CNA…”
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Latent feature extraction with a prior-based self-attention framework for spatial transcriptomics Autor Li, Zhen, Chen, Xiaoyang, Zhang, Xuegong, Jiang, Rui, Chen, Shengquan

“… Here we propose a prior-based self-attention framework for spatial transcriptomics (PAST), a variational graph convolutional autoencoder for ST, which effectively…”
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Enhancing Gas Turbine Fault Diagnosis Using a Multi-Scale Dilated Graph Variational Autoencoder Model Autor Kun, Zhang, Hongren, Li, Xin, Wang, Daxing, Xie, Shuai, Yang

“…This paper proposes a Multi-scale Dilated Variational Graph Convolutional Autoencoder (MG-VAE…”
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