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Interpretable Modeling of Single-cell perturbation Responses to Novel
  Drugs Using Cycle Consistence Learning

Interpretable Modeling of Single-cell perturbation Responses to Novel Drugs Using Cycle Consistence Learning

17 November 2023
Wei Huang
Aichun Zhu
Hui Liu
ArXivPDFHTML

Papers citing "Interpretable Modeling of Single-cell perturbation Responses to Novel Drugs Using Cycle Consistence Learning"

6 / 6 papers shown
Title
Attention-wise masked graph contrastive learning for predicting
  molecular property
Attention-wise masked graph contrastive learning for predicting molecular property
Hui Liu
Yibiao Huang
Xuejun Liu
L. Deng
57
33
0
02 May 2022
Continuously Indexed Domain Adaptation
Continuously Indexed Domain Adaptation
Hao Wang
Hao He
Dina Katabi
MedIm
36
117
0
03 Jul 2020
Multi-Adversarial Domain Adaptation
Multi-Adversarial Domain Adaptation
Zhongyi Pei
Zhangjie Cao
Mingsheng Long
Jianmin Wang
OOD
TTA
53
857
0
04 Sep 2018
Joint Domain Alignment and Discriminative Feature Learning for
  Unsupervised Deep Domain Adaptation
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation
Chao Chen
Zhihong Chen
Boyuan Jiang
Xinyu Jin
OOD
43
235
0
28 Aug 2018
Generate To Adapt: Aligning Domains using Generative Adversarial
  Networks
Generate To Adapt: Aligning Domains using Generative Adversarial Networks
S. Sankaranarayanan
Yogesh Balaji
Carlos D. Castillo
Rama Chellappa
GAN
OOD
100
649
0
06 Apr 2017
Deep Domain Confusion: Maximizing for Domain Invariance
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
162
2,588
0
10 Dec 2014
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