| PCA model building with missing data: new proposals and a comparative study A Folch-Fortuny, F Arteaga, A Ferrer Chemometrics and Intelligent Laboratory Systems 146, 77-88, 2015 | 131 | 2015 |
| Missing Data Imputation Toolbox for MATLAB A Folch-Fortuny, F Arteaga, A Ferrer Chemometrics and Intelligent Laboratory Systems 154, 93-100, 2016 | 99 | 2016 |
| VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits A Folch-Fortuny, JM Prats-Montalbán, S Cubero, J Blasco, A Ferrer Chemometrics and Intelligent Laboratory Systems 156, 241-248, 2016 | 88 | 2016 |
| Calibration transfer between NIR spectrometers: New proposals and a comparative study A Folch‐Fortuny, R Vitale, OE de Noord, A Ferrer Journal of Chemometrics 31 (3), e2874, 2017 | 54 | 2017 |
| Variable shift and alignment RH Jellema, A Folch-Fortuny, MMWB Hendriks Elsevier, 2020 | 45 | 2020 |
| Topology analysis and visualization of Potyvirus protein-protein interaction network G Bosque, A Folch-Fortuny, J Picó, A Ferrer, SF Elena BMC systems biology 8 (1), 129, 2014 | 41 | 2014 |
| Enabling network inference methods to handle missing data and outliers A Folch-Fortuny, AF Villaverde, A Ferrer, JR Banga BMC Bioinformatics 16 (1), 283, 2015 | 36 | 2015 |
| PLS model building with missing data: New algorithms and a comparative study A Folch-Fortuny, F Arteaga, A Ferrer Journal of Chemometrics, e2897 31 (7), 2017 | 26 | 2017 |
| Assessment of maximum likelihood PCA missing data imputation A Folch‐Fortuny, F Arteaga, A Ferrer Journal of Chemometrics 30 (7), 386-393, 2016 | 24 | 2016 |
| Metabolic flux understanding of Pichia pastoris grown on heterogenous culture media JM González-Martínez, A Folch-Fortuny, F Llaneras, M Tortajada, J Picó, ... Chemometrics and Intelligent Laboratory Systems 134, 89-99, 2014 | 21 | 2014 |
| Missing data F Arteaga, A Folch-Fortuny, A Ferrer Elsevier, 2019 | 18 | 2019 |
| Principal elementary mode analysis (PEMA) A Folch-Fortuny, R Marques, IA Isidro, R Oliveira, A Ferrer Molecular BioSystems 12, 737-746, 2016 | 18 | 2016 |
| MCR-ALS on metabolic networks: Obtaining more meaningful pathways A Folch-Fortuny, M Tortajada, JM Prats-Montalbán, F Llaneras, J Picó, ... Chemometrics and Intelligent Laboratory Systems 142, 293-303, 2015 | 17 | 2015 |
| Dynamic elementary mode modelling of non-steady state flux data A Folch-Fortuny, B Teusink, HCJ Hoefsloot, AK Smilde, A Ferrer BMC Systems Biology 12 (1), 71, 2018 | 10 | 2018 |
| Sequence Control of the Self-Assembly of Elastin-Like Polypeptides into Hydrogels with Bespoke Viscoelastic and Structural Properties D López Barreiro, A Folch-Fortuny, I Muntz, JC Thies, CMJ Sagt, ... Biomacromolecules 24 (1), 489-501, 2022 | 5 | 2022 |
| How to Simulate Outliers with the Desired Properties A González-Cebrián, F Arteaga, A Folch-Fortuny, A Ferrer Chemometrics and Intelligent Laboratory Systems, 104301, 2021 | 3 | 2021 |
| Fusion of genomic, proteomic and phenotypic data: the case of potyviruses A Folch-Fortuny, G Bosque, J Picó, A Ferrer, S Elena Molecular BioSystems 12, 253-261, 2015 | 3 | 2015 |
| RadarTSR: A new algorithm for cellwise and rowwise outlier detection and missing data imputation A González-Cebrián, A Folch-Fortuny, F Arteaga, A Ferrer Chemometrics and Intelligent Laboratory Systems, 105047, 2024 | | 2024 |
| Chemometric Approaches for Systems Biology A Folch Fortuny Universitat Politècnica de València, 2017 | | 2017 |
| Proceedings of the VI Chemometrics Workshop for Young Researchers JM Prats Montalbán, AJ Ferrer Riquelme, R Vitale, A Folch Fortuny Editorial Universitat Politècnica de València, 2015 | | 2015 |
Alberto J. Ferrer-RiquelmeUniversitat Politècnica de València在 eio.upv.es 的电子邮件经过验证
![Kiko [Francisco] Llaneras](https://images.xueshu.lanfanshu.cn/citations?view_op=small_photo&user=atc2lasAAAAJ&citpid=2)
