| DNA-binding specificities of human transcription factors A Jolma, J Yan, T Whitington, J Toivonen, KR Nitta, P Rastas, ... Cell 152 (1), 327-339, 2013 | 1400 | 2013 |
| Multiplexed massively parallel SELEX for characterization of human transcription factor binding specificities A Jolma, T Kivioja, J Toivonen, L Cheng, G Wei, M Enge, M Taipale, ... Genome research 20 (6), 861-873, 2010 | 533 | 2010 |
| Conservation of transcription factor binding specificities across 600 million years of bilateria evolution KR Nitta, A Jolma, Y Yin, E Morgunova, T Kivioja, J Akhtar, K Hens, ... elife 4, e04837, 2015 | 267 | 2015 |
| Modular discovery of monomeric and dimeric transcription factor binding motifs for large data sets J Toivonen, T Kivioja, A Jolma, Y Yin, J Taipale, E Ukkonen Nucleic acids research 46 (8), e44-e44, 2018 | 18 | 2018 |
| Prediction and impact of personalized donation intervals J Toivonen, Y Koski, E Turkulainen, F Prinsze, P della Briotta Parolo, ... Vox sanguinis 117 (4), 504-512, 2022 | 11 | 2022 |
| An international comparison of haemoglobin deferral prediction models for blood banking M Vinkenoog, J Toivonen, T Brits, D de Clippel, V Compernolle, S Karki, ... Vox sanguinis 118 (6), 430-439, 2023 | 5 | 2023 |
| MODER2: first-order Markov modeling and discovery of monomeric and dimeric binding motifs J Toivonen, PK Das, J Taipale, E Ukkonen Bioinformatics 36 (9), 2690-2696, 2020 | 5 | 2020 |
| The Value of Genetic Data from 665,460 Individuals in Predicting Anemia and Suitability to Donate Blood J Toivonen, J Castren, FinnGen, M Arvas GENETIC EPIDEMIOLOGY 46 (7), 477-477, 2022 | 1 | 2022 |
| Seed-driven learning of position probability matrices from large sequence sets J Toivonen, J Taipale, E Ukkonen 17th International Workshop on Algorithms in Bioinformatics (WABI 2017), 2017 | 1 | 2017 |
| Predicting haemoglobin deferral using machine learning models: Can we use the same prediction model across countries? A Meulenbeld, J Toivonen, M Vinkenoog, T Brits, R Swanevelder, ... Vox Sanguinis, 2024 | | 2024 |
| Genome-wide association study reveals the unique genetic structure of active blood donors J Clancy, J Toivonen, J Lauronen, S Koskela, J Partanen, FinnGen, ... medRxiv, 2024.06. 18.24309089, 2024 | | 2024 |
| The value of genetic data from 665,460 individuals in managing iron deficiency anaemia and suitability to donate blood J Toivonen, E Allara, FinnGen, J Castrén, E di Angelantonio, M Arvas Vox Sanguinis 119 (1), 34-42, 2024 | | 2024 |
| The added value of ferritin levels and genetic markers for the prediction of haemoglobin deferral M Vinkenoog, J Toivonen, M van Leeuwen, MP Janssen, M Arvas Vox Sanguinis 118 (10), 825-834, 2023 | | 2023 |
| Controlled Hb and deferral prediction evaluation using a Docker container for every blood establishment J Toivonen, M Vinkenoog, T Brits, D De Clippen, M Janssen, M Arvas Vox Sanguinis, 115-116, 2022 | | 2022 |
| Author response: Conservation of transcription factor binding specificities across 600 million years of bilateria evolution KR Nitta, A Jolma, Y Yin, E Morgunova, T Kivioja, J Akhtar, K Hens, ... | | |
Mikko ArvasSenior scientist at Finnish Red Cross BloodserviceVerified email at veripalvelu.fi
