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OmiEmbed: a unified multi-task deep learning framework for multi-omics
  data
v1v2 (latest)

OmiEmbed: a unified multi-task deep learning framework for multi-omics data

3 February 2021
Xiaoyu Zhang
Yuting Xing
Kai Sun
Yike Guo
ArXiv (abs)PDFHTML

Papers citing "OmiEmbed: a unified multi-task deep learning framework for multi-omics data"

11 / 11 papers shown
Title
Artificial Intelligence and Deep Learning Algorithms for Epigenetic Sequence Analysis: A Review for Epigeneticists and AI Experts
Artificial Intelligence and Deep Learning Algorithms for Epigenetic Sequence Analysis: A Review for Epigeneticists and AI Experts
Muhammad Tahir
Mahboobeh Norouzi
Shehroz S. Khan
James Davie
Soichiro Yamanaka
A. Ashraf
198
2
0
01 Apr 2025
Self-supervised learning of multi-omics embeddings in the low-label,
  high-data regime
Self-supervised learning of multi-omics embeddings in the low-label, high-data regime
Christian John Hurry
Emma Slade
82
0
0
16 Nov 2023
URLOST: Unsupervised Representation Learning without Stationarity or Topology
URLOST: Unsupervised Representation Learning without Stationarity or Topology
Zeyu Yun
Juexiao Zhang
Bruno A. Olshausen
Yann LeCun
228
1
0
06 Oct 2023
DEDUCE: Multi-head attention decoupled contrastive learning to discover
  cancer subtypes based on multi-omics data
DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data
Liangrui Pan
Da Liu
Yutao Dou
Lian-min Wang
Zhichao Feng
Pengfei Rong
Liwen Xu
Shaoliang Peng
38
4
0
09 Jul 2023
Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer
  Data
Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data
S. Hashim
Karthik Nandakumar
Mohammad Yaqub
SyDa
37
5
0
03 Oct 2022
CustOmics: A versatile deep-learning based strategy for multi-omics
  integration
CustOmics: A versatile deep-learning based strategy for multi-omics integration
Hakim Benkirane
Yoann Pradat
Stefan Michiels
P. Cournède
SyDa
48
4
0
12 Sep 2022
A Fair Experimental Comparison of Neural Network Architectures for
  Latent Representations of Multi-Omics for Drug Response Prediction
A Fair Experimental Comparison of Neural Network Architectures for Latent Representations of Multi-Omics for Drug Response Prediction
Tony Hauptmann
Stefan Kramer
AI4CE
92
2
0
31 Aug 2022
Coupling Deep Imputation with Multitask Learning for Downstream Tasks on
  Genomics Data
Coupling Deep Imputation with Multitask Learning for Downstream Tasks on Genomics Data
Sophie Peacock
Etai Jacob
Nikolay Burlutskiy
AI4CE
43
2
0
28 Apr 2022
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data
  for Cancer Type Classification
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification
S. Hashim
Muhammad Ali
Karthik Nandakumar
Mohammad Yaqub
81
3
0
03 Feb 2022
OmiTrans: generative adversarial networks based omics-to-omics
  translation framework
OmiTrans: generative adversarial networks based omics-to-omics translation framework
Xiaoyu Zhang
Yike Guo
MedIm
72
5
0
27 Nov 2021
XOmiVAE: an interpretable deep learning model for cancer classification
  using high-dimensional omics data
XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data
Eloise Withnell
Xiaoyu Zhang
Kai Sun
Yike Guo
78
67
0
26 May 2021
1