Comorbidities in the diseasome are more apparent than real: what Bayesian filtering reveals about the comorbidities of depression P Marx, P Antal, B Bolgar, G Bagdy, B Deakin, G Juhasz PLoS computational biology 13 (6), e1005487, 2017 | 75 | 2017 |
VB-MK-LMF: fusion of drugs, targets and interactions using variational Bayesian multiple kernel logistic matrix factorization B Bolgár, P Antal BMC bioinformatics 18, 1-18, 2017 | 39 | 2017 |
Drug repositioning for treatment of movement disorders: from serendipity to rational discovery strategies B Bolgár, A Arany, G Temesi, B Balogh, P Antal, P Matyus Current topics in medicinal chemistry 13 (18), 2337-2363, 2013 | 38 | 2013 |
VariantMetaCaller: automated fusion of variant calling pipelines for quantitative, precision-based filtering A Gézsi, B Bolgár, P Marx, P Sarkozy, C Szalai, P Antal BMC genomics 16, 1-15, 2015 | 33 | 2015 |
Comprehensive analysis of rare variants of 101 autism-linked genes in a Hungarian cohort of autism spectrum disorder patients P Balicza, NÁ Varga, B Bolgár, K Pentelényi, R Bencsik, A Gál, A Gézsi, ... Frontiers in genetics 10, 434, 2019 | 21 | 2019 |
Multi-aspect candidates for repositioning: data fusion methods using heterogeneous information sources A Arany, B Bolgár, B Balogh, P Antal, P Mátyus Current medicinal chemistry 20 (1), 95-107, 2013 | 21 | 2013 |
Bayesian matrix factorization with non-random missing data using informative Gaussian process priors and soft evidences B Bolgár, P Antal Conference on Probabilistic Graphical Models, 25-36, 2016 | 14 | 2016 |
Early repositioning through compound set enrichment analysis: a knowledge-recycling strategy G Temesi, B Bolgár, Á Arany, C Szalai, P Antal, P Mátyus Future medicinal chemistry 6 (5), 563-575, 2014 | 14 | 2014 |
Genetic risk of depression is different in subgroups of dietary ratio of tryptophan to large neutral amino acids B Bruncsics, G Hullam, B Bolgar, P Petschner, A Millinghoffer, K Gecse, ... Scientific Reports 13 (1), 4976, 2023 | 5 | 2023 |
Unique genetic and risk-factor profiles in clusters of major depressive disorder-related multimorbidity trajectories A Gezsi, S Van der Auwera, H Mäkinen, N Eszlari, G Hullam, T Nagy, ... Nature communications 15 (1), 7190, 2024 | 2 | 2024 |
Bioinformatika: molekuláris méréstechnikától az orvosi döntéstámogatásig P Antal, G Hullám, A Millinghoffer, G Hajós, P Marx, Á Arany, B Bolgár, ... Budapesti Műszaki Egyetem, 2014 | 2 | 2014 |
Bayesian systems-based genetic association analysis with effect strength estimation and omic wide interpretation: a case study in rheumatoid arthritis G Hullám, A Gézsi, A Millinghoffer, P Sárközy, B Bolgár, SK Srivastava, ... Arthritis Research: Methods and Protocols, 143-176, 2014 | 2 | 2014 |
Towards Multipurpose Drug Repositioning: Fusion of Multiple Kernels and Partial Equivalence Relations Using GPU-accelerated Metric Learning B Bolgár, P Antal First European Biomedical Engineering Conference for Young Investigators …, 2015 | 1 | 2015 |
MicroRNA Prioritization based on Target Profile Similarities. P Marx, B Bolgár, A Gézsi, A Gulyás-Kovács, P Antal BIOINFORMATICS, 278-285, 2014 | 1 | 2014 |
Burden test of selected autism-associated genes in a Hungarian cohort P Balicza, NA Varga, K Pentelenyi, R Bencsik, A Gal, C Prekop, V Molnar, ... EUROPEAN JOURNAL OF NEUROLOGY 26, 208-208, 2019 | | 2019 |
Multiple kernel data and knowledge fusion methods in drug discovery B Bolgár PQDT-Global, 2017 | | 2017 |
MULTIPLE KERNEL LEARNING OF DISTANCE METRICS WITH PAIRWISE EQUIVALENCE AND INEQUIVALENCE CONSTRAINTS B BOLGÁR 21ST PHD MINI-SYMPOSIUM, 12, 2014 | | 2014 |
Bioinformatika laboratórium: molekuláris méréstechnikától az orvosi döntéstámogatásig P Antal, G Hullám, A Millinghoffer, G Hajós, Á Arany, B Bolgár, A Gézsi, ... | | 2014 |
SUPPLEMENTARY RESULTS, FIGURES AND TABLES OF: VARIANTMETACALLER: AUTOMATED FUSION OF VARIANT CALLING PIPELINES FOR QUANTITATIVE, PRECISION-BASED FILTERING A GÉZSI, B BOLGAR, P MARX, P SARKOZY, C SZALAI, P ANTAL | | |