E. Putin

发表

Human Gut Microbiome Aging Clock Based on Taxonomic Profiling and Deep Learning

A. Aliper, A. Zhavoronkov, V. Gladyshev, 2020, iScience.

Machine Learning on Human Muscle Transcriptomic Data for Biomarker Discovery and Tissue-Specific Drug Target Identification

A. Zhavoronkov, I. Ozerov, Polina Mamoshina, 2018, Front. Genet..

Deep biomarkers of human aging: Application of deep neural networks to biomarker development

Evgeny Putin, Alexander Aliper, Polina Mamoshina, 2016, Aging.

Human microbiome aging clocks based on deep learning and tandem of permutation feature importance and accumulated local effects

Evgeny Putin, Fedor Galkin, Vadim N. Gladyshev, 2018, bioRxiv.

In search for geroprotectors: in silico screening and in vitro validation of signalome-level mimetics of young healthy state

Evgeny Putin, Alexander Aliper, Polina Mamoshina, 2016, Aging.

Combating data incompetence in pollen images detection and classification for pollinosis prevention

Andrey Filchenkov, Evgeny Putin, Anatoly Shalyto, 2021, Comput. Biol. Medicine.

Reinforced Adversarial Neural Computer for de Novo Molecular Design

Alán Aspuru-Guzik, Evgeny Putin, Benjamin Sanchez-Lengeling, 2018, J. Chem. Inf. Model..

Use of deep neural network ensembles to identify embryonic-fetal transition markers: repression of COX7A1 in embryonic and cancer cells

Andrey Alekseenko, Evgeny Putin, Polina Mamoshina, 2017, Oncotarget.

Population Specific Biomarkers of Human Aging: A Big Data Study Using South Korean, Canadian, and Eastern European Patient Populations

Evgeny Putin, Alexander Aliper, Kirill Kochetov, 2018, The journals of gerontology. Series A, Biological sciences and medical sciences.

Integrated deep learned transcriptomic and structure-based predictor of clinical trials outcomes

Evgeny Putin, Alexander Aliper, Alex Zhavoronkov, 2016, bioRxiv.

COVIDomic: A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity

Tudor I. Oprea, T. Oprea, A. Aliper, 2021, PLoS Comput. Biol..

Noise Masking Recurrent Neural Network for Respiratory Sound Classification

Andrey Filchenkov, Evgeny Putin, Anatoly Shalyto, 2018, ICANN.

Wheeze Detection Using Convolutional Neural Networks

Andrey Filchenkov, Evgeny Putin, Kirill Kochetov, 2017, EPIA.

Adversarial Threshold Neural Computer for Molecular de Novo Design.

Evgeny Putin, Alex Aliper, Quentin Vanhaelen, 2018, Molecular pharmaceutics.

Applications of Deep Learning in Biomedicine.

Alex Zhavoronkov, Evgeny Putin, Armando Vieira, 2016, Molecular pharmaceutics.

Chemistry42: An AI-based platform for de novo molecular design

Evgeny Putin, Alexander Aliper, Daniil Polykovskiy, 2021, ArXiv.

Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers

Evgeny Putin, Alexander Aliper, Kirill Kochetov, 2019, Scientific Reports.

Adversarial Threshold Neural Computer for Small Organic Molecular Structures

A. Shalyto, E. Putin, 2018, Information and Control Systems.

Prediction of reaction conditions by deep learning techniques

V. B. Moskalev, E. O. Putin, E. Putin, 2020 .

Identification of Novel Antibacterials Using Machine Learning Techniques

Alex Zhavoronkov, Yan A. Ivanenkov, Ilya A. Osterman, 2019, Front. Pharmacol..

Pollen Recognition for Allergy and Asthma Management Using GIST Features

Evgeny Putin, Natalia Khanzhina, E. Putin, 2016 .

Testing for batch effect through age predictors

Evgeny Putin, Kirill Kochetov, Polina Mamoshina, 2019, bioRxiv.

Continuous Histogram Loss: Beyond Neural Similarity pdf

Artem Zholus, Evgeny Putin, Artem Zholus, 2020, ArXiv.