Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-specific gene analysis Yanshuo Chen, Yixuan Wang, Yuelong Chen, Yuqi Cheng, Yumeng Wei, Yunxiang Li, Jiuming Wang, Yingying Wei, Ting-Fung Chan & Yu Li Nature Communications volume 13, Article number: ...
Interpretable Deep Learning(可解释的深度学习) Generative Models, Adversarial Networks GANs, Variational Autoencoders VAEs, Representation Learning(生成模型、对抗性网络 GAN、变分自动编码器 VAE、表示学习) Regulatory Genomics - Deep Learning in Life Sciences(调节基因组学) Deep Learning for Regulatory Genomic...
Interpretable Deep Learning(可解释的深度学习) Generative Models, Adversarial Networks GANs, Variational Autoencoders VAEs, Representation Learning(生成模型、对抗性网络 GAN、变分自动编码器 VAE、表示学习) Regulatory Genomics - Deep Learning in Life Sciences(调节基因组学) Deep Learning for Regulatory Genomic...
Deep autoencoder enables interpretable tissue-adaptive deconvolution and cell-type-specific gene analysisdoi:10.1101/2021.10.26.465846Yanshuo ChenYixuan WangYuelong ChenYuqi ChengYumeng WeiYunxiang LiTing-Fung ChanYu LiCold Spring Harbor Laboratory
@article{TAPE, author = {Chen, Yanshuo and Wang, Yixuan and Chen, Yuelong and Cheng, Yuqi and Wei, Yumeng and Li, Yunxiang and Wang, Jiuming and Wei, Yingying and Chan, Ting-Fung and Li, Yu}, title = {Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-...
Interpretable Deep Learning(可解释的深度学习) Generative Models, Adversarial Networks GANs, Variational Autoencoders VAEs, Representation Learning(生成模型、对抗性网络 GAN、变分自动编码器 VAE、表示学习) Regulatory Genomics - Deep Learning in Life Sciences(调节基因组学) ...
Deep Interpretable Non-Rigid Structure from Motion 还有一类比较暴力,是先获得 2d 骨架坐标,再从2d pose 直接归回出 3d pose。【A simple yet effective baseline for 3d human pose estimation】 A simple yet effective baseline for 3d human pose estimation ...
Also, these results are robust across 256 and 1024 hidden nodes of the deep autoencoder (e, f). Full size image Replications of interpretable gradients using RNA-seq In order to assess the generality and to increase the domain of applicability of the AE approach to interpret emerging large ...
自编码器(autoencoder,AE)及其变体,如DAE等在基于异质网络的靶标预测方法中较为主流,研究人员通过收集药物、靶标相关的各种信息,构建异质网络,利用各种AE变体进行学习,最终分析和预测药物的潜在靶标。Zeng等[19]收集了药物-疾病、药物-...
Despite this, several works have reported the successful use of EMRs and PTS to train Machine Learning/Deep Learning based models for diagnosis. In one of the first published attempts of using deep learning for medical tasks, Lasko et al. [18] used a deep Autoencoder for unsupervised clinical...