一个典型的无监督深度学习成功研究案例👍
我的粗浅理解:通过VAE把高维临床数据(HDCD)压缩到较低维度潜在空间,然后基于基因关联和专家定义特征(Expert-defined Features, EDFs),再对潜在空间的数据进行干涉和调整。🤔
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A typical success case study of unsupervised deep learning👍
My basic understanding is: High-dimensional clinical data (HDCD) is compressed into a lower-dimensional latent space using Variational Autoencoders (VAEs). Then, based on gene associations and expert-defined features (EDFs), the data in the latent space is further manipulated and adjusted. 🤔
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Founder at CodeIslands
2moA typical success case study of unsupervised deep learning👍 My basic understanding is: High-dimensional clinical data (HDCD) is compressed into a lower-dimensional latent space using Variational Autoencoders (VAEs). Then, based on gene associations and expert-defined features (EDFs), the data in the latent space is further manipulated and adjusted. 🤔