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Journal of Forensic Sciences
|
May 15, 2025
Simple and nondestructive method to access and process material on coverslipped slides
Natalia Pedraza, Michael A Marciano
Forensic Science International. Genetics
|
September 20, 2019
Developmental validation of PACE™: Automated artifact identification and contributor estimation for use with GlobalFiler™ and PowerPlex® fusion 6c generated data
Michael A Marciano, Jonathan D Adelman
Forensic Science International. Genetics
|
January 2, 2017
PACE: Probabilistic Assessment for Contributor Estimation- A machine learning-based assessment of the number of contributors in DNA mixtures
Michael A Marciano, Jonathan D Adelman
Forensic Science International. Synergy
|
March 13, 2023
Enhancing research and collaboration in forensic science: A primer on data sharing
Michael A Marciano, Henry P Maynard
Forensic Science International. Genetics
|
June 17, 2026
The next frontier in forensic genetics: Single-cell genetic analysis and its expanding role
Jack Ballantyne, Catherine M Grgicak, Michael A Marciano
Forensic Science International. Genetics
|
April 9, 2018
A hybrid approach to increase the informedness of CE-based data using locus-specific thresholding and machine learning
Michael A Marciano, Victoria R Williamson, Jonathan D Adelman
Journal of Forensic Sciences
|
July 27, 2023
A systematic approach to improve downstream single-cell analysis for the DEPArray™ technology
Janine Schulte, Michael A Marciano, Eva Scheurer, et al.
Forensic Science International. Genetics
|
April 23, 2022
Assessing non-LUS stutter in DNA sequence data
Olivia D'Angelo, Amber C W Vandepoele, Jonathan Adelman, et al.
Electrophoresis
|
May 21, 2019
Automated detection and removal of capillary electrophoresis artifacts due to spectral overlap
Jonathan D Adelman, Angie Zhao, D Spencer Eberst, et al.
Forensic Science International. Genetics
|
December 18, 2024
Characterizing stutter in single cells and the impact on multi-cell analysis
Amber C W Vandepoele, Natalie Novotna, Dan Myers, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 17) with videos related to
Sort By:
Page
of 2
Journal of Forensic Sciences
|
May 15, 2025
Simple and nondestructive method to access and process material on coverslipped slides
Natalia Pedraza, Michael A Marciano
Forensic Science International. Genetics
|
September 20, 2019
Developmental validation of PACE™: Automated artifact identification and contributor estimation for use with GlobalFiler™ and PowerPlex® fusion 6c generated data
Michael A Marciano, Jonathan D Adelman
Forensic Science International. Genetics
|
January 2, 2017
PACE: Probabilistic Assessment for Contributor Estimation- A machine learning-based assessment of the number of contributors in DNA mixtures
Michael A Marciano, Jonathan D Adelman
Forensic Science International. Synergy
|
March 13, 2023
Enhancing research and collaboration in forensic science: A primer on data sharing
Michael A Marciano, Henry P Maynard
Forensic Science International. Genetics
|
June 17, 2026
The next frontier in forensic genetics: Single-cell genetic analysis and its expanding role
Jack Ballantyne, Catherine M Grgicak, Michael A Marciano
Forensic Science International. Genetics
|
April 9, 2018
A hybrid approach to increase the informedness of CE-based data using locus-specific thresholding and machine learning
Michael A Marciano, Victoria R Williamson, Jonathan D Adelman
Journal of Forensic Sciences
|
July 27, 2023
A systematic approach to improve downstream single-cell analysis for the DEPArray™ technology
Janine Schulte, Michael A Marciano, Eva Scheurer, et al.
Forensic Science International. Genetics
|
April 23, 2022
Assessing non-LUS stutter in DNA sequence data
Olivia D'Angelo, Amber C W Vandepoele, Jonathan Adelman, et al.
Electrophoresis
|
May 21, 2019
Automated detection and removal of capillary electrophoresis artifacts due to spectral overlap
Jonathan D Adelman, Angie Zhao, D Spencer Eberst, et al.
Forensic Science International. Genetics
|
December 18, 2024
Characterizing stutter in single cells and the impact on multi-cell analysis
Amber C W Vandepoele, Natalie Novotna, Dan Myers, et al.
Page
of 2