| Frequency modulated möbius model accurately predicts rhythmic signals in biological and physical sciences C Rueda, Y Larriba, SD Peddada Scientific reports 9 (1), 18701, 2019 | 35 | 2019 |
| The hidden waves in the ECG uncovered revealing a sound automated interpretation method C Rueda, Y Larriba, A Lamela Scientific reports 11 (1), 3724, 2021 | 23 | 2021 |
| A novel wave decomposition for oscillatory signals C RuedaSabater, A Rodríguez-Collado, Y Larriba IEEE Transactions on Signal Processing 69, 960-972, 2021 | 20 | 2021 |
| Microarray data normalization and robust detection of rhythmic features Y Larriba, C Rueda, MA Fernández, SD Peddada Microarray Bioinformatics, 207-225, 2019 | 20 | 2019 |
| Order restricted inference in chronobiology Y Larriba, C Rueda, MA Fernández, SD Peddada Statistics in Medicine 39 (3), 265-278, 2020 | 15 | 2020 |
| Order restricted inference for oscillatory systems for detecting rhythmic signals Y Larriba, C Rueda, MA Fernández, SD Peddada Nucleic Acids Research 44 (22), e163-e163, 2016 | 12 | 2016 |
| FMM: An R package for modeling rhythmic patterns in oscillatory systems I Fernández, A Rodríguez-Collado, Y Larriba, A Lamela, C Canedo, ... arXiv preprint arXiv:2105.10168, 2021 | 10 | 2021 |
| Compelling new electrocardiographic markers for automatic diagnosis C Rueda, I Fernández, Y Larriba, A Rodríguez-Collado, C Canedo Computer Methods and Programs in Biomedicine 221, 106807, 2022 | 8 | 2022 |
| A bootstrap based measure robust to the choice of normalization methods for detecting rhythmic features in high dimensional data Y Larriba, C Rueda, MA Fernández, SD Peddada Frontiers in Genetics 9, 24, 2018 | 7 | 2018 |
| A unique cardiac electrocardiographic 3D model. Toward interpretable AI diagnosis C Rueda, A Rodríguez-Collado, I Fernández, C Canedo, MD Ugarte, ... Iscience 25 (12), 2022 | 4 | 2022 |
| The FMM approach to analyze biomedical signals: theory, software, applications and future C Rueda, I Fernández, Y Larriba, A Rodríguez-Collado Mathematics 9 (10), 1145, 2021 | 4 | 2021 |
| FMM: rhythmic patterns modeling by FMM models I Fernández, A Rodríguez-Collado, Y Larriba, A Lamela, C Canedo, ... R package version 0.3. 0, 2021 | 4 | 2021 |
| Real-time imaging of asthmatic epithelial cells identifies migratory deficiencies under type-2 conditions M Jin, S Watkins, Y Larriba, C Wallace, CS Croix, X Zhou, J Zhao, ... Journal of Allergy and Clinical Immunology 149 (2), 579-588, 2022 | 2 | 2022 |
| The hidden waves in the ECG uncovered: a sound automated interpretation method C Rueda, Y Larriba, A Lamela Scientific Reports, sv 11, 1-12, 2020 | 2 | 2020 |
| ECGMiner: A flexible software for accurately digitizing ECG AF Santamónica, R Carratalá-Sáez, Y Larriba, A Pérez-Castellanos, ... Computer Methods and Programs in Biomedicine, 108053, 2024 | 1 | 2024 |
| CIRCUST: A novel methodology for temporal order reconstruction of molecular rhythms; validation and application towards a daily rhythm gene expression atlas in humans Y Larriba, IC Mason, R Saxena, FAJL Scheer, C Rueda PLoS Computational Biology 19 (9), e1011510, 2023 | 1 | 2023 |
| CIRCUST: a novel methodology for reconstruction of temporal order of molecular rhythms; validation and application towards a human circadian gene expression atlas Y Larriba, C Rueda Preprint, 2022 | 1 | 2022 |
| A Unique Cardiac Electrophysiological 3D Model C Rueda, A Rodríguez-Collado, I Fernández, C Canedo, MD Ugarte, ... arXiv preprint arXiv:2202.03938, 2022 | 1 | 2022 |
| Heart Attack Outcome Predictions Using FMM Models C Canedo, A Fernández-Santamónica, Y Larriba, I Fernández, C Rueda 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
| Statistical Methods at the Forefront of Biomedical Advances Y Larriba Springer, 2023 | | 2023 |
