The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology
about
Precision and recall oncology: combining multiple gene mutations for improved identification of drug-sensitive tumours.Predicting new indications of compounds with a network pharmacology approach: Liuwei Dihuang Wan as a case study.Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders.Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare.Deep learning in pharmacogenomics: from gene regulation to patient stratification.Predicting Aging of Brain Metabolic Topography Using Variational AutoencoderDeep reinforcement learning for de novo drug design
P2860
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P2860
The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology
description
2016 nî lūn-bûn
@nan
2016 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
The cornucopia of meaningful l ...... lecule development in oncology
@ast
The cornucopia of meaningful l ...... lecule development in oncology
@en
type
label
The cornucopia of meaningful l ...... lecule development in oncology
@ast
The cornucopia of meaningful l ...... lecule development in oncology
@en
prefLabel
The cornucopia of meaningful l ...... lecule development in oncology
@ast
The cornucopia of meaningful l ...... lecule development in oncology
@en
P2093
P2860
P356
P1433
P1476
The cornucopia of meaningful l ...... lecule development in oncology
@en
P2093
Alex Zhavoronkov
Alexander Aliper
Andrey Kazennov
Kuzma Khrabrov
Polina Mamoshina
P2860
P304
10883-10890
P356
10.18632/ONCOTARGET.14073
P407
P577
2017-02-01T00:00:00Z