| MOLI: multi-omics late integration with deep neural networks for drug response prediction H Sharifi-Noghabi, O Zolotareva, CC Collins, M Ester Bioinformatics 35 (14), i501-i509, 2019 | 284 | 2019 |
| Antigen receptor repertoire profiling from RNA-seq data DA Bolotin, S Poslavsky, AN Davydov, FE Frenkel, L Fanchi, ... Nature biotechnology 35 (10), 908-911, 2017 | 283 | 2017 |
| 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, 61-76, 2018 | 67 | 2018 |
| A survey of gene prioritization tools for mendelian and complex human diseases O Zolotareva, M Kleine Journal of integrative bioinformatics 16 (4), 20180069, 2019 | 48 | 2019 |
| 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, 2021 | 47 | 2021 |
| AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics H Sharifi-Noghabi, S Peng, O Zolotareva, CC Collins, M Ester Bioinformatics 36 (Supplement_1), i380-i388, 2020 | 46 | 2020 |
| 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, 2019 | 44 | 2019 |
| 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, 2022 | 43 | 2022 |
| 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, 2016 | 32 | 2016 |
| 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 Ester Nature Machine Intelligence 3 (11), 962-972, 2021 | 24 | 2021 |
| 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, 2018 | 22 | 2018 |
| 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, 2018 | 22 | 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, 2016 | 21 | 2016 |
| 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, 2021 | 20* | 2021 |
| 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, 2018 | 16 | 2018 |
| The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach J Matschinske, J Späth, M Bakhtiari, N Probul, MMK Majdabadi, ... Journal of Medical Internet Research 25, e42621-e42621, 2023 | 15* | 2023 |
| Cancer driver drug interaction explorer M Hartung, E Anastasi, ZM Mamdouh, C Nogales, HHHW Schmidt, ... Nucleic acids research 50 (W1), W138-W144, 2022 | 14 | 2022 |
| Privacy-aware multi-institutional time-to-event studies J Späth, J Matschinske, FK Kamanu, SA Murphy, O Zolotareva, ... PLOS Digital Health 1 (9), e0000101, 2022 | 8 | 2022 |
| Interpretable Drug Response Prediction using a Knowledge-based Neural Network O Snow, H Sharifi-Noghabi, J Lu, O Zolotareva, M Lee, M Ester Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 7 | 2021 |
| Identification of differentially expressed gene modules in heterogeneous diseases O Zolotareva, S Khakabimamaghani, OI Isaeva, Z Chervontseva, ... Bioinformatics 37 (12), 1691-1698, 2021 | 7 | 2021 |
Martin EsterDistinguished Professor of Computer Science, Simon Fraser University在 cs.sfu.ca 的电子邮件经过验证
