| SynergyFinder plus: toward better interpretation and annotation of drug combination screening datasets S Zheng, W Wang, J Aldahdooh, A Malyutina, T Shadbahr, Z Tanoli, ... Genomics, Proteomics and Bioinformatics 20 (3), 587-596, 2022 | 211 | 2022 |
| DrugComb: an integrative cancer drug combination data portal B Zagidullin, J Aldahdooh, S Zheng, W Wang, Y Wang, J Saad, ... Nucleic acids research 47 (W1), W43-W51, 2019 | 169 | 2019 |
| DEqMS: a method for accurate variance estimation in differential protein expression analysis Y Zhu, LM Orre, YZ Tran, G Mermelekas, HJ Johansson, A Malyutina, ... Molecular & Cellular Proteomics 19 (6), 1047-1057, 2020 | 145 | 2020 |
| Drug combination sensitivity scoring facilitates the discovery of synergistic and efficacious drug combinations in cancer A Malyutina, MM Majumder, W Wang, A Pessia, CA Heckman, J Tang PLoS computational biology 15 (5), e1006752, 2019 | 128 | 2019 |
| Drug Target Commons 2.0: a community platform for systematic analysis of drug–target interaction profiles ZR Tanoli, Z Alam, M Vähä-Koskela, B Ravikumar, A Malyutina, A Jaiswal, ... Database 2018, bay083, 2018 | 58 | 2018 |
| Multi-parametric single cell evaluation defines distinct drug responses in healthy hematologic cells that are retained in corresponding malignant cell types MM Majumder, AM Leppä, M Hellesøy, P Dowling, A Malyutina, ... haematologica 105 (6), 1527, 2020 | 22 | 2020 |
| Combined gene essentiality scoring improves the prediction of cancer dependency maps W Wang, A Malyutina, A Pessia, J Saarela, CA Heckman, J Tang EBioMedicine 50, 67-80, 2019 | 22 | 2019 |
| SynergyFinder Plus: toward better interpretation and annotation of drug combination screening datasets. Genomics Proteomics Bioinform S Zheng, W Wang, J Aldahdooh, A Malyutina, T Shadbahr, Z Tanoli | 7 | 2022 |
| Heterogeneous modulation of Bcl-2 family members and drug efflux mediate MCL-1 inhibitor resistance in multiple myeloma A Bolomsky, JJ Miettinen, A Malyutina, A Besse, J Huber, S Fellinger, ... Blood advances 5 (20), 4125-4139, 2021 | 7 | 2021 |
| drda: An R package for dose-response data analysis A Malyutina, J Tang, A Pessia BioRxiv, 2021.06. 07.447323, 2021 | 3 | 2021 |
| drda: An R package for dose-response data analysis using logistic functions A Malyutina, J Tang, A Pessia Journal of Statistical Software, 2023 | 2 | 2023 |
| Discovery of novel methionine adenosyltransferase 2A (MAT2A) allosteric inhibitors by structure-based virtual screening T Kalliokoski, H Kettunen, E Kumpulainen, E Kettunen, G Thieulin-Pardo, ... Bioorganic & Medicinal Chemistry Letters 94, 129450, 2023 | 1 | 2023 |
| Multi-Parametric Single Cell Profiling Defines Distinct Drug Responses in Healthy Hematological Cell Lineages That Are Retained in Corresponding Malignant Cell Types MM Majumder, M Leppä, M Hellesoy, P Dowling, A Malyutina, D Bazou, ... Blood 132, 264, 2018 | 1 | 2018 |
| Resolving network clusters disparity based on dissimilarity measurements with nonmetric analysis of variance A Malyutina, J Tang, A Amiryousefi Iscience 26 (11), 2023 | | 2023 |
| P-104: Multi-omics data integration reveals molecular targets of carfilzomib resistance in multiple myeloma J Huber, A Malyutina, A Bolomsky, N Zojer, M Schreder, A Schneller, ... Clinical Lymphoma Myeloma and Leukemia 22, S92-S93, 2022 | | 2022 |
| Nonmetric ANOVA: a generic framework for analysis of variance on dissimilarity measures A Malyutina, J Tang, A Amiryousefi bioRxiv, 2021.11. 19.469283, 2021 | | 2021 |
| drda: An R package for dose-response data analysis A Malyutina, J Tang, A Pessia BioRxiv, 2021.06. 07.447323, 2021 | | 2021 |
| Corrigendum to ‘Combined gene essentiality scoring improves the prediction of cancer dependency maps’[EBioMedicine 50 (2019) 66–79] W Wang, A Malyutina, A Pessia, J Saarela, CA Heckman, J Tang EBioMedicine 51, 2020 | | 2020 |
| Combined gene essentiality scoring improves the prediction of cancer dependency maps (vol 50, pg 66, 2019) W Wang, A Malyutina, A Pessia, J Saarela, CA Heckman, J Tang EBIOMEDICINE 51, 2020 | | 2020 |
| Improving the consistency of functional genomics screens using molecular features-a multi-omics, pan-cancer study W Wang, A Malyutina, A Pessia, CA Heckman, J Tang bioRxiv, 322883, 2018 | | 2018 |
Jing TangAssociate professor, University of HelsinkiVerified email at helsinki.fi
