Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data
about
The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncologyUsing Big Data to Discover Diagnostics and Therapeutics for Gastrointestinal and Liver Diseases.In search for geroprotectors: in silico screening and in vitro validation of signalome-level mimetics of young healthy state.In silico Pathway Activation Network Decomposition Analysis (iPANDA) as a method for biomarker development.Development and assessment of a lysophospholipid-based deep learning model to discriminate geographical origins of white rice.The Next Era: Deep Learning in Pharmaceutical Research.SCAMPs for Multimodal Post-Operative Analgesia: A Concept to Standardize and Individualize Care.Overcoming Obstacles to Drug Repositioning in Japan.Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data.Towards natural mimetics of metformin and rapamycin.Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare.Development of models for classification of action between heat-clearing herbs and blood-activating stasis-resolving herbs based on theory of traditional Chinese medicine.Vive la radiorésistance!: converging research in radiobiology and biogerontology to enhance human radioresistance for deep space exploration and colonization.Deep learning in pharmacogenomics: from gene regulation to patient stratification.Opportunities and obstacles for deep learning in biology and medicine.Comparing and Validating Machine Learning Models for Mycobacterium tuberculosis Drug Discovery.Cancer Drug Response Profile scan (CDRscan): A Deep Learning Model That Predicts Drug Effectiveness from Cancer Genomic Signature.Changing Trends in Computational Drug Repositioning.Deep reinforcement learning for de novo drug designProtein design: from computer models to artificial intelligenceMachine Learning Based Toxicity Prediction: From Chemical Structural Description to Transcriptome Analysis
P2860
Q30358084-0B19019A-1224-4431-8ACB-0A6EE647387BQ31138564-D2543611-940D-45C5-98BA-512EEC77E4CCQ37361055-CA3FB0F3-FBF7-4ACF-AF9F-E3901842E5DEQ37423763-D0C79AAD-D61D-4962-AD70-D14F75131679Q38619165-E96C5E45-9F83-4FE8-8FA0-B201A055E481Q38823933-55954DC2-3FB0-4D61-B01A-5E46D25DEA95Q38985139-3E0C0AE4-094B-4608-A15D-A69D495DFD3BQ42700223-E2DDA393-893E-40C0-B712-6812D52EECD5Q42966532-8B9BBD18-C07A-4F5C-A039-71CB5D4BA7E9Q47140599-BB6C81F7-5405-4D46-A1F2-057C81955021Q49787893-1B397D9C-90B0-4CD4-B638-2BF4F8DDB5E5Q50421470-048DACAE-22D5-4408-8ACD-4EB9CCA30DDAQ51144519-B5CFFBA3-550E-467D-9EFF-D1666231B244Q52309127-DD17DF9C-42B6-4273-AA91-4AAB0E2BBE69Q52331906-3253DE5D-79CB-44FB-B937-BD9AD7C72DFAQ52578227-936BA8FA-2EE1-46E5-8271-59A8B6624BD6Q55216429-35294A23-1DA3-4AD4-AA57-4C94D38F0C6EQ55717464-89315597-6C69-4DAC-92FD-DDAEA4E0E361Q57425404-8ED60950-CE49-44AF-85E0-322D5EDA2B4DQ57794249-E2E56AB3-9E9B-461C-9589-FE99BD20FE61Q58789313-97087833-3CFF-4FA7-A2E5-003956DE904A
P2860
Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data
description
2016 nî lūn-bûn
@nan
2016 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի հուլիսին 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
Deep Learning Applications for ...... sing Using Transcriptomic Data
@ast
Deep Learning Applications for ...... sing Using Transcriptomic Data
@en
Deep Learning Applications for ...... sing Using Transcriptomic Data
@nl
type
label
Deep Learning Applications for ...... sing Using Transcriptomic Data
@ast
Deep Learning Applications for ...... sing Using Transcriptomic Data
@en
Deep Learning Applications for ...... sing Using Transcriptomic Data
@nl
prefLabel
Deep Learning Applications for ...... sing Using Transcriptomic Data
@ast
Deep Learning Applications for ...... sing Using Transcriptomic Data
@en
Deep Learning Applications for ...... sing Using Transcriptomic Data
@nl
P2093
P2860
P921
P3181
P1476
Deep Learning Applications for ...... sing Using Transcriptomic Data
@en
P2093
Alexander Aliper
Alvaro Ulloa
Artem Artemov
Polina Mamoshina
Sergey Plis
P2860
P304
P3181
P356
10.1021/ACS.MOLPHARMACEUT.6B00248
P407
P577
2016-07-05T00:00:00Z