| PACE: Probabilistic Assessment for Contributor Estimation—A machine learning-based assessment of the number of contributors in DNA mixtures MA Marciano, JD Adelman Forensic Science International: Genetics 27, 82-91, 2017 | 69 | 2017 |
| Enhanced DNA mixture deconvolution of sexual offense samples using the DEPArray™ system VR Williamson, TM Laris, R Romano, MA Marciano Forensic Science International: Genetics 34, 265-276, 2018 | 60 | 2018 |
| Revisiting single cell analysis in forensic science DRL Watkins, D Myers, HE Xavier, MA Marciano Scientific Reports 11 (1), 7054, 2021 | 34 | 2021 |
| Development of a Method to Extract Opium Poppy (Papaver somniferum L.) DNA from Heroin MA Marciano, SX Panicker, GD Liddil, D Lindgren, KS Sweder Scientific reports 8 (1), 2590, 2018 | 33 | 2018 |
| A hybrid approach to increase the informedness of CE-based data using locus-specific thresholding and machine learning MA Marciano, VR Williamson, JD Adelman Forensic Science International: Genetics 35, 26-37, 2018 | 19 | 2018 |
| Developmental validation of PACE™: Automated artifact identification and contributor estimation for use with GlobalFiler™ and PowerPlex® fusion 6c generated data MA Marciano, JD Adelman Forensic Science International: Genetics 43, 102140, 2019 | 16 | 2019 |
| A systematic approach to improve downstream single‐cell analysis for the DEPArray™ technology J Schulte, MA Marciano, E Scheurer, I Schulz Journal of Forensic Sciences 68 (6), 1875-1893, 2023 | 11 | 2023 |
| Automated detection and removal of capillary electrophoresis artifacts due to spectral overlap J Adelman, A Zhao, SD Eberst, MA Marciano Electrophoresis, 1-9, 2019 | 11 | 2019 |
| Interaction effects between the cumulative genetic score and psychosocial stressor on self-reported drinking urge and implicit attentional bias for alcohol: A human laboratory … J Kim, MA Marciano, S Ninham, MJ Zaso, A Park Alcohol and Alcoholism 54 (1), 30-37, 2019 | 8 | 2019 |
| DEPArray™ single-cell technology: A validation study for forensic applications J Schulte, A Caliebe, M Marciano, P Neuschwander, I Seiberle, ... Forensic Science International: Genetics 70, 103026, 2024 | 5 | 2024 |
| Enhancing research and collaboration in forensic science: A primer on data sharing MA Marciano, HP Maynard III Forensic Science International: Synergy 6, 100323, 2023 | 5 | 2023 |
| Match statistics for sequence‐based alleles in profiles from forensic PCR‐mps kits B Young, M Marciano, K Crenshaw, G Duncan, L Armogida, B McCord Electrophoresis 42 (6), 756-765, 2021 | 5 | 2021 |
| Revisiting single cell analysis in forensic science. Sci Rep. 2021; 11: 7054 DRL Watkins, D Myers, HE Xavier, MA Marciano | 5 | |
| Assessing non-LUS stutter in DNA sequence data O D’Angelo, ACW Vandepoele, J Adelman, MA Marciano Forensic Science International: Genetics 59, 102706, 2022 | 4 | 2022 |
| Racial/ethnic discrimination, ADH1B*3, and coping‐motivated drinking among Black college students MJ Zaso, J Kim, JM Desalu, PA Goodhines, MA Marciano, A Park The American journal on addictions 31 (5), 415-422, 2022 | 3 | 2022 |
| System and method for inter-species DNA mixture interpretation M Marciano, J Adelman US Patent 10,957,421, 2021 | 3 | 2021 |
| Automation of Differential Extraction With Sperm Quantitation Using Microfluidic-lntegrated Shadow Imaging System for Forensic Applications U Demirci, M Corbett US DOJ, 2018 | 2 | 2018 |
| A hybrid machine learning approach to DNA mixture interpretation M Marciano, JD Adelman American Academy of Forensic Sciences Annual Meeting, 2016 | 2 | 2016 |
| Targeted recovery of male cells in a male and female same‐cell mixture J Hogg, ACW Vandepoele, N Zaccheo, J Schulte, I Schulz, J Dubois, ... Journal of Forensic Sciences 69 (4), 1183-1197, 2024 | 1 | 2024 |
| Methods and systems for prediction of a DNA profile mixture ratio M Marciano, JD Adelman, LC Haarer US Patent 10,854,316, 2020 | 1 | 2020 |
