DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing A Vidaki, D Ballard, A Aliferi, TH Miller, LP Barron, DS Court Forensic Science International: Genetics 28, 225-236, 2017 | 260 | 2017 |
DNA methylation-based age prediction using massively parallel sequencing data and multiple machine learning models A Aliferi, D Ballard, MD Gallidabino, H Thurtle, L Barron, DS Court Forensic Science International: Genetics 37, 215-226, 2018 | 102 | 2018 |
Towards broadening Forensic DNA Phenotyping beyond pigmentation: Improving the prediction of head hair shape from DNA E Pośpiech, Y Chen, M Kukla-Bartoszek, K Breslin, A Aliferi, JD Andersen, ... Forensic Science International: Genetics 37, 241-251, 2018 | 90* | 2018 |
A comparison of forensic age prediction models using data from four DNA methylation technologies A Freire-Aradas, E Pośpiech, A Aliferi, L Girón-Santamaría, ... Frontiers in genetics 11, 557076, 2020 | 32 | 2020 |
Development and validation of the EUROFORGEN NAME (North African and Middle Eastern) ancestry panel V Pereira, A Freire-Aradas, D Ballard, C Børsting, V Diez, ... Forensic Science International: Genetics 42, 260-267, 2019 | 29 | 2019 |
Combining current knowledge on DNA methylation-based age estimation towards the development of a superior forensic DNA intelligence tool A Aliferi, S Sundaram, D Ballard, A Freire-Aradas, C Phillips, MV Lareu, ... Forensic Science International: Genetics 57, 102637, 2022 | 27 | 2022 |
UK and Irish Y-STR population data—A catalogue of variant alleles A Aliferi, J Thomson, A McDonald, VM Paynter, S Ferguson, ... Forensic Science International: Genetics 34, e1-e6, 2018 | 26 | 2018 |
A common epigenetic clock from childhood to old age A Freire-Aradas, L Girón-Santamaría, A Mosquera-Miguel, ... Forensic Science International: Genetics 60, 102743, 2022 | 21 | 2022 |
Evaluation of a custom QIAseq targeted DNA panel with 164 ancestry informative markers sequenced with the Illumina MiSeq D Truelsen, A Freire-Aradas, M Nazari, A Aliferi, D Ballard, C Phillips, ... Scientific Reports 11 (1), 21040, 2021 | 5 | 2021 |
Court DS, Morling N, Lareu MV, Carracedo Á; EUROFORGEN-NoE Consortium, Phillips C. Development and validation of the EUROFORGEN NAME (North African and Middle Eastern) ancestry … V Pereira, A Freire-Aradas, D Ballard, C Børsting, V Diez, ... Forensic Sci Int Genet 42, 260-267, 2019 | 5 | 2019 |
H. urtle, L. Barron, and D. Syndercombe Court,“DNA methylation-based age prediction using massively parallel sequencing data and multiple machine learning models,” A Aliferi, D Ballard, MD Gallidabino Forensic Science International: Genetics 37, 215-226, 2018 | 5 | 2018 |
Predicting chronological age from DNA methylation data: a machine learning approach for small datasets and limited predictors A Aliferi, D Ballard Epigenome-Wide Association Studies: Methods and Protocols, 187-200, 2022 | 3 | 2022 |
Exploiting the variability of DNA methylation patterns over time for the estimation of the chronological age from biological traces in forensic casework A Aliferi King's College London, 2021 | | 2021 |
UK and Irish Y-STR population data—A catalogue of A Aliferi, J Thomson, A McDonald | | 2018 |
The AGCT murders: putting epigenetics on the stand D Ballard, A Aliferi The Biochemist 39 (5), 24-26, 2017 | | 2017 |