Laurent Pène

Estimating the Number of Contributors to Forensic DNA Mixtures: Does Maximum Likelihood Perform Better Than Maximum Allele Count?

Hinda Haned, Laurent Pène, Jean R. Lobry et al. · Journal of Forensic Sciences · 2010 · 91 citations

Forensic Dna Mixture, Genetics, Genetic Epidemiology +19

Estimating drop-out probabilities in forensic DNA samples: A simulation approach to evaluate different models

Hinda Haned, Thore Egeland, Dominique Pontier et al. · Forensic Science International Genetics · 2011 · 46 citations

Drop-out Probabilities, Forensics Analysis, Genetic Testing +14

Automation and developmental validation of the ForenSeq™ DNA Signature Preparation kit for high-throughput analysis in forensic laboratories

Clémence Hollard, Lionel Ausset, Yann Chantrel et al. · Forensic Science International Genetics · 2019 · 43 citations

Developmental Validation, Dna Sequencing, Medicine +10

Validation of SmartRank: A likelihood ratio software for searching national DNA databases with complex DNA profiles

Corina C.G. Benschop, Linda van de Merwe, Jeroen de Jong et al. · Forensic Science International Genetics · 2017 · 37 citations

Genetics, National Dna, Likelihood Ratio Software +17

The predictive value of the maximum likelihood estimator of the number of contributors to a DNA mixture

Hinda Haned, Laurent Pène, Frank Sauvage et al. · Forensic Science International Genetics · 2010 · 36 citations

Genetics, Genetic Epidemiology, Dna Analysis +16