The allelic landscape of human blood cell trait variation and links to common complex disease WJ Astle, H Elding, T Jiang, D Allen, D Ruklisa, AL Mann, D Mead, ... Cell 167 (5), 1415-1429. e19, 2016 | 1211 | 2016 |
Platelet function is modified by common sequence variation in megakaryocyte super enhancers R Petersen, JJ Lambourne, BM Javierre, L Grassi, R Kreuzhuber, ... Nature communications 8 (1), 16058, 2017 | 62 | 2017 |
Bayesian models for syndrome-and gene-specific probabilities of novel variant pathogenicity D Ruklisa, JS Ware, R Walsh, DJ Balding, SA Cook Genome medicine 7, 1-16, 2015 | 24 | 2015 |
Melanoma epidemiology, prognosis and trends in Latvia K Azarjana, A Ozola, D Ruklisa, I Cema, A Rivosh, A Azaryan, D Pjanova Journal of the European Academy of Dermatology and Venereology 27 (11), 1352 …, 2013 | 22 | 2013 |
Reconstruction of gene regulatory networks under the finite state linear model D Ruklisa, A Brazma, J Viksna Genome informatics 16 (2), 225-236, 2005 | 21 | 2005 |
HSM—a hybrid system based approach for modelling intracellular networks A Brazma, K Cerans, D Ruklisa, T Schlitt, J Viksna Gene 518 (1), 70-77, 2013 | 5 | 2013 |
Modeling and Analysis of Qualitative Behavior of Gene Regulatory Networks A Brazma, K Cerans, D Ruklisa, T Schlitt, J Viksna International Workshop on Hybrid Systems Biology, 51-66, 2014 | 4 | 2014 |
Dynamics of gene regulatory networks and their dependence on network topology and quantitative parameters – the case of phage λ D Ruklisa, A Brazma, K Cerans, T Schlitt, J Viksna BMC bioinformatics 20, 1-14, 2019 | 3 | 2019 |
The complementary effect of rs1042522 in TP53 and rs1805007 in MC1R is associated with an elevated risk of cutaneous melanoma in Latvian population A Ozola, D Ruklisa, D Pjanova Oncology letters 18 (5), 5225-5234, 2019 | 3 | 2019 |
Association of the 16q24. 3 region gene variants rs1805007 and rs4785763 with heightened risk of melanoma in Latvian population A Ozola, D Ruklisa, D Pjanova Meta Gene 18, 87-92, 2018 | 1 | 2018 |
Features associated with melanoma metastasis in Latvia D Pjanova, D Ruklisa, E Kregere, K Azarjana, A Ozola, I Cema Oncology letters 20 (4), 1-1, 2020 | | 2020 |
A High-resolution Genetic Atlas of Blood Cell Variation and Function in Humans W Astle, H Elding, T Jiang, D Ruklisa, D Allen, H Bouman, K Downes, ... TRANSFUSION 56, 152A-152A, 2016 | | 2016 |
Metamodels and Formalization of Fuzzy Knowledge: a Case Study D Ruklisa, J Barzdins Databases and Information Systems, 92, 0 | | |
Bayesian models for syndrome-and gene-specific probabilities of novel variant pathogenicity JS Ware, D Ruklisa, R Walsh, DJ Balding, SA Cook BioMed Central, 0 | | |
Gene Duplication Models and Reconstruction of Network Evolution J Viksna, D Gilbert, D Ruklisa | | |