Author

Zolotoreva MG

Universit

Biography

Zolotoreva MG is affiliated to National Research Nuclear University MEPhI. He is a recipient of many awards and grants for his valuable contributions and discoveries in major area of subject research. His international experience includes various programs, contributions and participation in different countries for diverse fields of study.  His research interests reflect in his wide range of publications in various national and international journals.  
Title
Cited by
Year
Antigen receptor repertoire profiling from RNA-seq data
DA Bolotin, S Poslavsky, AN Davydov, FE Frenkel, L Fanchi, ...Nature biotechnology 35 (10), 908-911, 2017201
226
2017
MOLI: multi-omics late integration with deep neural networks for drug response prediction
H Sharifi-Noghabi, O Zolotareva, CC Collins, M EsterBioinformatics 35 (14), i501-i509, 2019201
199
2019
Novel candidate genes important for asthma and hypertension comorbidity revealed from associative gene networks
OV Saik, PS Demenkov, TV Ivanisenko, EY Bragina, MB Freidin, ...BMC medical genomics 11 (1), 61-76, 2018201
57
2018
The AIMe registry for artificial intelligence in biomedical research
J Matschinske, N Alcaraz, A Benis, M Golebiewski, DG Grimm, L Heumos, ...Nature methods 18 (10), 1128-1131, 2021202
36
2021
Comorbidity of asthma and hypertension may be mediated by shared genetic dysregulation and drug side effects
O Zolotareva, OV Saik, C Königs, EY Bragina, IA Goncharova, MB Freidin, ...Scientific reports 9 (1), 1-11, 2019201
35
2019
Whole exome sequencing links dental tumor to an autosomal-dominant mutation in ANO5 gene associated with gnathodiaphyseal dysplasia and muscle dystrophies
TV Andreeva, TV Tyazhelova, VN Rykalina, FE Gusev, AY Goltsov, ...Scientific reports 6 (1), 26440, 2016201
30
2016
AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics
H Sharifi-Noghabi, S Peng, O Zolotareva, CC Collins, M EsterBioinformatics 36 (Supplement_1), i380-i388, 2020202
29
2020
A survey of gene prioritization tools for mendelian and complex human diseases
O Zolotareva, M KleineJournal of integrative bioinformatics 16 (4), 20180069, 2019201
27
2019
Molecular relationships between bronchial asthma and hypertension as comorbid diseases
EY Bragina, IA Goncharova, AF Garaeva, EV Nemerov, AA Babovskaya, ...Journal of Integrative Bioinformatics 15 (4), 20180052, 2018201
21
2018
Robotic QM/MM-driven maturation of antibody combining sites
IV Smirnov, AV Golovin, SD Chatziefthimiou, AV Stepanova, Y Peng, ...Science advances 2 (10), e1501695, 161
20
2016
GenCoNet–a graph database for the analysis of comorbidities by gene networks
A Shoshi, R Hofestädt, O Zolotareva, M Friedrichs, A Maier, VA Ivanisenko, ...Journal of integrative bioinformatics 15 (4), 20180049, 2018201
16
2018
Federated Random Forests can improve local performance of predictive models for various healthcare applications
AC Hauschild, M Lemanczyk, J Matschinske, T Frisch, O Zolotareva, ...Bioinformatics 38 (8), 2278-2286, 2022202
14
2022
Search for new candidate genes involved in the comorbidity of asthma and hypertension based on automatic analysis of scientific literature
OV Saik, PS Demenkov, TV Ivanisenko, EY Bragina, MB Freidin, ...Journal of integrative bioinformatics 15 (4), 20180054, 2018201
13
2018
Flimma: a federated and privacy-aware tool for differential gene expression analysis
O Zolotareva, R Nasirigerdeh, J Matschinske, R Torkzadehmahani, ...Genome Biology 22 (1), 1-26, 20219202
9
2021
Out-of-distribution generalization from labelled and unlabelled gene expression data for drug response prediction
H Sharifi-Noghabi, PA Harjandi, O Zolotareva, CC Collins, M EsterNature Machine Intelligence 3 (11), 962-972, 2021202
8
2021
The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond
J Matschinske, J Späth, R Nasirigerdeh, R Torkzadehmahani, ...arXiv preprint arXiv:2105.0534, 2021202
7
2021
BDKANN-biological domain knowledge-based artificial neural network for drug response prediction
O Snow, H Sharifi-Noghabi, J Lu, O Zolotareva, M Lee, M EsterbioRxiv, 840553, 2019201
6
2019
Identification of differentially expressed gene modules in heterogeneous diseases
O Zolotareva, S Khakabimamaghani, OI Isaeva, Z Chervontseva, ...Bioinformatics 37 (12), 1691-1698, 2021202
5
2021
Interpretable Drug Response Prediction using a Knowledge-based Neural Network
O Snow, H Sharifi-Noghabi, J Lu, O Zolotareva, M Lee, M EsterProceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021202
4
2021
Cancer driver drug interaction explorer
M Hartung, E Anastasi, ZM Mamdouh, C Nogales, HHHW Schmidt, ...Nucleic acids research 50 (W1), W138-W1, 2022202
4
2022

Referred From: https://scholar.google.com/citations?user=l12Rb5UAAAAJ&hl=en

Cited by
Citations 769
h-index 13
i10-index 13
Open Access Journals