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Now showing items 11-20 of 21

Bayesian Approach of the Feature Selection Problem in Case of Continuous Target Variables

Marx, Péter; Antal, Péter; Dobrowiecki, Tadeusz (2011)

Imputation and Haplotype Reconstruction in Genetic Association Studies (Summary of PhD Work in 2011)

Sarkozy, Peter; Antal, Péter (2012)

The relevance Vector Machine and an In Silico Study of the Oxytocine Receptor Gene (Summary of PhD Work in 2011)

Marx, Péter; Antal, Péter (2012)

QDF2: A Kernel-based Data Fusion Framework for Drug Repositioning

Bolgár, Bence; Antal, Péter (2013)

Multiple Kernel Learning of Distance Metrics with Pairwise Equivalence and Inequivalence Constraints

Bolgár, Bence; Antal, Péter (2014)

Kernel Construction and Evaluation in microRNAbased Prioritization. Annual research report

Marx, Péter; Antal, Péter (2014)

Bayesian Analysis of Multi-Target Genetic Markers Using Hierarchical Phenotypic Data

Nagy, Tamás; Eszlári, Nóra; Juhász, Gabriella; Antal, Péter (2022)

Hierarchical data is ubiquitous in healthcare, but taking advantage of hierarchic information is still an open problem. We demonstrate the strengths and weaknesses of Bayesian multilevel analysis (BMLA) in this scenario ...

Unknown, Uncertain, Untrue: Challenges in Inference Using Semantic Life Science Data

Bruncsics, Bence; Gézsi, András; Antal, Péter (2018)

Adaptive Sequential Laboratory Diagnostic Tests: Joint Bayesian Analysis for Optimality

Guenfoud, Zeyneb; Antal, Péter (2018)

Discovery of causal relationships in presence of hidden variables

Hullám, Gábor; Strausz, György; Antal, Péter (2006)