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Hinda Haned

Showing results (1-10 of 14) with videos related to

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Forensic Science International. Genetics|May 12, 2010
Forensim: an open-source initiative for the evaluation of statistical methods in forensic geneticsHinda Haned
International Journal of Legal Medicine|December 2, 2011
Consensus and pool profiles to assist in the analysis and interpretation of complex low template DNA mixturesCorina Benschop, Hinda Haned, Titia Sijen
Forensic Science International. Genetics|February 18, 2014
Database extraction strategies for low-template evidenceØyvind Bleka, Guro Dørum, Hinda Haned, et al.
Science & Justice : Journal of the Forensic Science Society|March 16, 2016
Validation of probabilistic genotyping software for use in forensic DNA casework: Definitions and illustrationsHinda Haned, Peter Gill, Kirk Lohmueller, et al.
Forensic Science International. Genetics|December 9, 2014
Complex DNA mixture analysis in a forensic context: evaluating the probative value using a likelihood ratio modelHinda Haned, Corina C G Benschop, Peter D Gill, et al.
Science & Justice : Journal of the Forensic Science Society|September 20, 2015
Evaluation of samples comprising minute amounts of DNACorina C G Benschop, Hinda Haned, Seong Yeon Yoo, et al.
Journal of Forensic Sciences|September 16, 2010
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.
Forensic Science International. Genetics|April 14, 2015
Genotyping and interpretation of STR-DNA: Low-template, mixtures and database matches-Twenty years of research and developmentPeter Gill, Hinda Haned, Oyvind Bleka, et al.
Forensic Science International. Genetics|July 24, 2015
The effect of varying the number of contributors on likelihood ratios for complex DNA mixturesCorina C G Benschop, Hinda Haned, Loes Jeurissen, et al.
Forensic Science International. Genetics|September 3, 2019
Automated estimation of the number of contributors in autosomal short tandem repeat profiles using a machine learning approachCorina C G Benschop, Jennifer van der Linden, Jerry Hoogenboom, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Forensic Science International. Genetics|May 12, 2010
Forensim: an open-source initiative for the evaluation of statistical methods in forensic geneticsHinda Haned
International Journal of Legal Medicine|December 2, 2011
Consensus and pool profiles to assist in the analysis and interpretation of complex low template DNA mixturesCorina Benschop, Hinda Haned, Titia Sijen
Forensic Science International. Genetics|February 18, 2014
Database extraction strategies for low-template evidenceØyvind Bleka, Guro Dørum, Hinda Haned, et al.
Science & Justice : Journal of the Forensic Science Society|March 16, 2016
Validation of probabilistic genotyping software for use in forensic DNA casework: Definitions and illustrationsHinda Haned, Peter Gill, Kirk Lohmueller, et al.
Forensic Science International. Genetics|December 9, 2014
Complex DNA mixture analysis in a forensic context: evaluating the probative value using a likelihood ratio modelHinda Haned, Corina C G Benschop, Peter D Gill, et al.
Science & Justice : Journal of the Forensic Science Society|September 20, 2015
Evaluation of samples comprising minute amounts of DNACorina C G Benschop, Hinda Haned, Seong Yeon Yoo, et al.
Journal of Forensic Sciences|September 16, 2010
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.
Forensic Science International. Genetics|April 14, 2015
Genotyping and interpretation of STR-DNA: Low-template, mixtures and database matches-Twenty years of research and developmentPeter Gill, Hinda Haned, Oyvind Bleka, et al.
Forensic Science International. Genetics|July 24, 2015
The effect of varying the number of contributors on likelihood ratios for complex DNA mixturesCorina C G Benschop, Hinda Haned, Loes Jeurissen, et al.
Forensic Science International. Genetics|September 3, 2019
Automated estimation of the number of contributors in autosomal short tandem repeat profiles using a machine learning approachCorina C G Benschop, Jennifer van der Linden, Jerry Hoogenboom, et al.
Pageof 2