Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification

17 August 2019

Papers citing "Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification"

8 / 8 papers shown

Title
URLOST: Unsupervised Representation Learning without Stationarity or Topology Zeyu Yun Juexiao Zhang Bruno A. Olshausen Yann LeCun 187 1 0 06 Oct 2023
Convolutional neural network models for cancer type prediction based on gene expression Milad Mostavi Yu-Chiao Chiu Yufei Huang Yidong Chen MedIm 38 188 0 18 Jun 2019
Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis Tianle Ma A. Zhang 39 25 0 06 Sep 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 205 9,492 0 09 Feb 2018
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification SungMin Rhee Seokjun Seo Sun Kim GNN 119 176 0 16 Nov 2017
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 469 43,357 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 484 16,922 0 20 Dec 2013