| TREM2 maintains microglial metabolic fitness in Alzheimer’s disease TK Ulland, WM Song, SCC Huang, JD Ulrich, A Sergushichev, WL Beatty, ... Cell 170 (4), 649-663. e13, 2017 | 906 | 2017 |
| GAM: a web-service for integrated transcriptional and metabolic network analysis AA Sergushichev, AA Loboda, AK Jha, EE Vincent, EM Driggers, ... Nucleic acids research 44 (W1), W194-W200, 2016 | 95 | 2016 |
| Solving generalized maximum-weight connected subgraph problem for network enrichment analysis AA Loboda, MN Artyomov, AA Sergushichev Algorithms in Bioinformatics: 16th International Workshop, WABI 2016, Aarhus …, 2016 | 31 | 2016 |
| The 22q11. 2 region regulates presynaptic gene-products linked to schizophrenia R Nehme, O Pietiläinen, M Artomov, M Tegtmeyer, V Valakh, L Lehtonen, ... Nature Communications 13 (1), 3690, 2022 | 21 | 2022 |
| A platform for case-control matching enables association studies without genotype sharing M Artomov, AA Loboda, MN Artyomov, MJ Daly BioRxiv, 470450, 2018 | 6 | 2018 |
| Genotype imputation and polygenic score estimation in northwestern Russian population N Kolosov, V Rezapova, O Rotar, A Loboda, O Freylikhman, O Melnik, ... Plos one 17 (6), e0269434, 2022 | 4 | 2022 |
| Shiny GATOM: omics-based identification of regulated metabolic modules in atom transition networks M Emelianova, A Gainullina, N Poperechnyi, A Loboda, M Artyomov, ... Nucleic acids research 50 (W1), W690-W696, 2022 | 3 | 2022 |
| Ranking vertices for active module recovery problem JE Isomurodov, AA Loboda, AA Sergushichev Algorithms for Computational Biology: 4th International Conference, AlCoB …, 2017 | 2 | 2017 |
| Gene, cell type, and drug prioritization analysis suggest genetic basis for the utility of diuretics in treating Alzheimer disease D Pinakhina, A Loboda, A Sergushichev, M Artomov Human Genetics and Genomics Advances 4 (3), 2023 | 1 | 2023 |
| Discordant calls across genotype discovery approaches elucidate variants with systematic errors EG Atkinson, M Artomov, AA Loboda, HL Rehm, DG MacArthur, ... Genome research 33 (6), 999-1005, 2023 | 1 | 2023 |
| Public platform with 39,472 exome control samples enables association studies without genotype sharing M Artomov, AA Loboda, MN Artyomov, MJ Daly Nature Genetics, 1-9, 2024 | | 2024 |
| CR1 variants contribute to FSGS susceptibility across multiple populations. R Skitchenko, Z Modrusan, A Loboda, JB Kopp, CA Winkler, ... Medrxiv, 2023.11. 20.23298462, 2023 | | 2023 |
| Understanding Complex Trait Susceptibilities and Ethnical Diversity in a Sample of 4,145 Russians Through Analysis of Clinical and Genetic Data D Usoltsev, N Kolosov, O Rotar, A Loboda, M Boyarinova, E Moguchaya, ... bioRxiv, 2023.03. 23.534000, 2023 | | 2023 |
| GCDPipe: risk gene, cell type, and drug ranking for complex traits D Pinakhina, A Loboda, A Sergushichev, M Artomov bioRxiv, 2022.07. 27.501775, 2022 | | 2022 |
| Polygenic Risk Score Estimation in North-Western Russian Population V Rezapova, N Kolosov, O Rotar, O Freylikhman, A Loboda, O Melnik, ... EUROPEAN JOURNAL OF HUMAN GENETICS 30 (SUPPL 1), 597-598, 2022 | | 2022 |
| Discordant genotype calls across technology platforms elucidate variants with systematic errors in next-generation sequencing EG Atkinson, M Artomov, KJ Karczewski, AA Loboda, HL Rehm, ... bioRxiv, 2022.03. 24.485707, 2022 | | 2022 |
| A platform for case-control matching enables association studies without genotype sharing A Loboda, M Artomov, M Artyomov, M Daly Bioinformatics of Genome Regulation and Structure/Systems Biology (BGRS/SB …, 2022 | | 2022 |
| Inferring of regulatory networks from expression data using bayesian networks AA Loboda, AA Sergushichev Scientific and Technical Journal of Information Technologies, Mechanics and …, 2020 | | 2020 |
