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Dr.VAE: Drug Response Variational Autoencoder
v1v2 (latest)

Dr.VAE: Drug Response Variational Autoencoder

26 June 2017
Ladislav Rampášek
Daniel Hidru
P. Smirnov
B. Haibe-Kains
Anna Goldenberg
    DRL
ArXiv (abs)PDFHTML

Papers citing "Dr.VAE: Drug Response Variational Autoencoder"

10 / 10 papers shown
Title
Direct Evolutionary Optimization of Variational Autoencoders With Binary
  Latents
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents
E. Guiraud
Jakob Drefs
Jörg Lücke
DRL
210
3
0
27 Nov 2020
Variational Autoencoder for Anti-Cancer Drug Response Prediction
Variational Autoencoder for Anti-Cancer Drug Response Prediction
Hongyuan Dong
Jiaqing Xie
Zhi Jing
Dexin Ren
DRL
249
15
0
22 Aug 2020
retina-VAE: Variationally Decoding the Spectrum of Macular Disease
retina-VAE: Variationally Decoding the Spectrum of Macular Disease
Stephen G. Odaibo
54
3
0
11 Jul 2019
Accelerated Discovery of Sustainable Building Materials
Accelerated Discovery of Sustainable Building Materials
Xiou Ge
Richard Goodwin
J. Gregory
R. Kirchain
Joana Maria
Lav Varshney
105
7
0
20 May 2019
Learning Latent Representations of Bank Customers With The Variational
  Autoencoder
Learning Latent Representations of Bank Customers With The Variational Autoencoder
R. A. Mancisidor
Michael C. Kampffmeyer
K. Aas
Robert Jenssen
DRLBDL
96
30
0
14 Mar 2019
Deep learning in bioinformatics: introduction, application, and
  perspective in big data era
Deep learning in bioinformatics: introduction, application, and perspective in big data erabioRxiv (bioRxiv), 2019
Yu Li
Chao Huang
Lizhong Ding
Zhongxiao Li
Yijie Pan
Xin Gao
AI4CE
221
320
0
28 Feb 2019
Learning a Generative Model of Cancer Metastasis
Learning a Generative Model of Cancer Metastasis
Benjamin Kompa
Beau Coker
MedImAI4CE
82
0
0
17 Jan 2019
Segment-Based Credit Scoring Using Latent Clusters in the Variational
  Autoencoder
Segment-Based Credit Scoring Using Latent Clusters in the Variational Autoencoder
R. A. Mancisidor
Michael C. Kampffmeyer
K. Aas
Robert Jenssen
DRL
118
3
0
07 Jun 2018
Deep Learning for Genomics: A Concise Overview
Deep Learning for Genomics: A Concise Overview
Tianwei Yue
Yuanxin Wang
Longxiang Zhang
Chunming Gu
Haohan Wang
Wenping Wang
Qi Lyu
Yujie Dun
AILawVLMBDL
249
96
0
02 Feb 2018
Dropout Feature Ranking for Deep Learning Models
Dropout Feature Ranking for Deep Learning Models
C. Chang
Ladislav Rampášek
Anna Goldenberg
OOD
140
52
0
22 Dec 2017
1