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Anita Rácz
Anita Rácz
Research Centre for Natural Sciences, Budapest, Hungary
在 ttk.mta.hu 的电子邮件经过验证 - 首页
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引用次数
引用次数
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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, 1-13, 2015
12352015
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
2132021
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
1072015
Multi-level comparison of machine learning classifiers and their performance metrics
A Rácz, D Bajusz, K Héberger
Molecules 24 (15), 2811, 2019
952019
Life beyond the Tanimoto coefficient: similarity measures for interaction fingerprints
A Rácz, D Bajusz, K Héberger
Journal of cheminformatics 10, 1-12, 2018
942018
Multivariate assessment of lipophilicity scales—computational and reversed phase thin-layer chromatographic indices
F Andrić, D Bajusz, A Rácz, S Šegan, K Héberger
Journal of Pharmaceutical and Biomedical Analysis 127, 81-93, 2016
652016
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
55*2017
Intercorrelation limits in molecular descriptor preselection for QSAR/QSPR
A Rácz, D Bajusz, K Héberger
Molecular informatics 38 (8-9), 1800154, 2019
482019
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), 32, 2021
452021
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
402018
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
392018
Extended similarity indices: the benefits of comparing more than two objects simultaneously. Part 2: speed, consistency, diversity selection
RA Miranda-Quintana, A Rácz, D Bajusz, K Héberger
Journal of Cheminformatics 13 (1), 33, 2021
362021
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
342015
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, 4619-4628, 2020
332020
Machine learning models for classification tasks related to drug safety
A Rácz, D Bajusz, RA Miranda-Quintana, K Héberger
Molecular Diversity 25 (3), 1409-1424, 2021
322021
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, 2887-2898, 2015
322015
Comparison of descriptor-and fingerprint sets in machine learning models for ADME-Tox targets
Á Orosz, K Héberger, A Rácz
Frontiers in Chemistry 10, 852893, 2022
302022
Quantitative determination and classification of energy drinks using near-infrared spectroscopy
A Rácz, K Héberger, M Fodor
Analytical and Bioanalytical Chemistry, 2016
302016
Binary similarity measures for fingerprint analysis of qualitative metabolomic profiles
A Rácz, F Andrić, D Bajusz, K Héberger
Metabolomics 14, 1-9, 2018
242018
Molecular dynamics simulations and diversity selection by extended continuous similarity indices
A Rácz, LM Mihalovits, D Bajusz, K Héberger, RA Miranda-Quintana
Journal of Chemical Information and Modeling 62 (14), 3415-3425, 2022
232022
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