Anita Rácz
Anita Rácz
Research Centre for Natural Sciences, Budapest, Hungary
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Cited by
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Why is Tanimoto index an appropriate choice for fingerprint-based similarity calculations?
D Bajusz, A Rácz, K Héberger
Journal of cheminformatics 7 (1), 1-13, 2015
Consistency of QSAR models: Correct split of training and test sets, ranking of models and performance parameters
A Rácz, D Bajusz, K Héberger
SAR and QSAR in Environmental Research 26 (7-9), 683-700, 2015
Multivariate assessment of lipophilicity scales—computational and reversed phase thin-layer chromatographic indices
F Andrić, D Bajusz, A Racz, S Šegan, K Héberger
Journal of Pharmaceutical and Biomedical Analysis 127, 81-93, 2016
Life beyond the Tanimoto coefficient: similarity measures for interaction fingerprints
A Rácz, D Bajusz, K Héberger
Journal of cheminformatics 10 (1), 1-12, 2018
Effect of dataset size and train/test split ratios in QSAR/QSPR multiclass classification
A Rácz, D Bajusz, K Héberger
Molecules 26 (4), 1111, 2021
Multi-level comparison of machine learning classifiers and their performance metrics
A Rácz, D Bajusz, K Héberger
Molecules 24 (15), 2811, 2019
Quantitative determination and classification of energy drinks using near-infrared spectroscopy
A Rácz, K Héberger, M Fodor
Analytical and Bioanalytical Chemistry, 2016
Comparison of antioxidant capacity assays with chemometric methods
A Rácz, N Papp, E Balogh, M Fodor, K Héberger
Analytical Methods 7 (10), 4216-4224, 2015
Is soft independent modeling of class analogies a reasonable choice for supervised pattern recognition?
A Rácz, A Gere, D Bajusz, K Héberger
RSC advances 8 (1), 10-21, 2018
Chemical Data Formats, Fingerprints, and Other Molecular Descriptions for Database Analysis and Searching
D Bajusz, A Rácz, K Héberger
Comprehensive Medicinal Chemistry 3, 329-378, 2017
Modelling methods and cross-validation variants in QSAR: a multi-level analysis$
A Rácz, D Bajusz, K Héberger
SAR and QSAR in Environmental Research 29 (9), 661-674, 2018
Quantitative determination of coenzyme Q10 from dietary supplements by FT-NIR spectroscopy and statistical analysis
A Rácz, A Vass, K Héberger, M Fodor
Analytical and Bioanalytical Chemistry 407 (10), 2887-2898, 2015
Intercorrelation limits in molecular descriptor preselection for QSAR/QSPR
A Rácz, D Bajusz, K Héberger
Molecular informatics 38 (8-9), 1800154, 2019
Comparison of classification methods with “n-class” receiver operating characteristic curves: A case study of energy drinks
A Rácz, D Bajusz, M Fodor, K Héberger
Chemometrics and Intelligent Laboratory Systems 151, 34-43, 2016
Binary similarity measures for fingerprint analysis of qualitative metabolomic profiles
A Rácz, F Andrić, D Bajusz, K Héberger
Metabolomics 14 (3), 1-9, 2018
Deoxynivalenol, zearalenone and T-2 in grain based swine feed in Hungary
H Tima, A Rácz, Z Guld, C Mohácsi-Farkas, G Kiskó
Food Additives & Contaminants: Part B 9, 275-280, 2016
Reagent-free total protein quantification of intact extracellular vesicles by attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy
V Szentirmai, A Wacha, C Németh, D Kitka, A Rácz, K Héberger, J Mihály, ...
Analytical and bioanalytical chemistry 412 (19), 4619-4628, 2020
Comparison of data fusion methods as consensus scores for ensemble docking
D Bajusz, A Rácz, K Héberger
Molecules 24 (15), 2690, 2019
Classification of Hungarian medieval silver coins using x-ray fluorescent spectroscopy and multivariate data analysis
A Rácz, K Héberger, R Rajkó, J Elek
Heritage Science 1 (1), 1-9, 2013
Extended similarity indices: the benefits of comparing more than two objects simultaneously. Part 1: Theory and characteristics
RA Miranda-Quintana, D Bajusz, A Rácz, K Héberger
Journal of cheminformatics 13 (1), 1-18, 2021
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