Miroslava Nedyalkova

Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions

Isabel Moreno‐Indias, Leo Lahti, Miroslava Nedyalkova et al. · Frontiers in Microbiology · 2021 · 115 citations · Full text

Life Sciences, Biostatistics, Microbiology +17

Calculating the Partition Coefficients of Organic Solvents in Octanol/Water and Octanol/Air

Miroslava Nedyalkova, Sergio Madurga, Marek Tobiszewski et al. · Journal of Chemical Information and Modeling · 2019 · 56 citations · Full text

Natural Sciences, Chemistry, Physics +16

Combinatorial K-Means Clustering as a Machine Learning Tool Applied to Diabetes Mellitus Type 2

Miroslava Nedyalkova, Sergio Madurga, Vasil Simeonov · International Journal of Environmental Research and Public Health · 2021 · 45 citations · Full text

Computing, Biomedical Informatics, Data Science +13

Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

Domenica D’Elia, Jaak Truu, Leo Lahti et al. · Frontiers in Microbiology · 2023 · 35 citations · Full text

Life Sciences, Computer Science, Microbiology +16

Modeling of pharmaceuticals mixtures toxicity with deviation ratio and best-fit functions models

Monika Wieczerzak, Błażej Kudłak, Galina Yotova et al. · The Science of The Total Environment · 2016 · 31 citations · Full text

Pharmacy, Toxicology, Dose-response Modeling +13