Marciano MA - Search Results

1

Targeted recovery of male cells in a male and female same-cell mixture.

Hogg J, Vandepoele ACW, Zaccheo N, Schulte J, Schulz I, Dubois J, Frank M, Marciano MA. Hogg J, et al. Among authors: marciano ma. J Forensic Sci. 2024 Mar 29. doi: 10.1111/1556-4029.15514. Online ahead of print. J Forensic Sci. 2024. PMID: 38549494

2

A systematic approach to improve downstream single-cell analysis for the DEPArray™ technology.

Schulte J, Marciano MA, Scheurer E, Schulz I. Schulte J, et al. Among authors: marciano ma. J Forensic Sci. 2023 Nov;68(6):1875-1893. doi: 10.1111/1556-4029.15344. Epub 2023 Jul 27. J Forensic Sci. 2023. PMID: 37497755

3

Assessing non-LUS stutter in DNA sequence data.

D'Angelo O, Vandepoele ACW, Adelman J, Marciano MA. D'Angelo O, et al. Among authors: marciano ma. Forensic Sci Int Genet. 2022 Jul;59:102706. doi: 10.1016/j.fsigen.2022.102706. Epub 2022 Apr 16. Forensic Sci Int Genet. 2022. PMID: 35460955

4

DEPArray™ single-cell technology: A validation study for forensic applications.

Schulte J, Caliebe A, Marciano M, Neuschwander P, Seiberle I, Scheurer E, Schulz I. Schulte J, et al. Forensic Sci Int Genet. 2024 May;70:103026. doi: 10.1016/j.fsigen.2024.103026. Epub 2024 Feb 16. Forensic Sci Int Genet. 2024. PMID: 38412740 Free article.

5

Enhanced DNA mixture deconvolution of sexual offense samples using the DEPArray™ system.

Williamson VR, Laris TM, Romano R, Marciano MA. Williamson VR, et al. Among authors: marciano ma. Forensic Sci Int Genet. 2018 May;34:265-276. doi: 10.1016/j.fsigen.2018.03.001. Epub 2018 Mar 2. Forensic Sci Int Genet. 2018. PMID: 29602061 Free article.

6

Developmental validation of PACE™: Automated artifact identification and contributor estimation for use with GlobalFiler™ and PowerPlex® fusion 6c generated data.

Marciano MA, Adelman JD. Marciano MA, et al. Forensic Sci Int Genet. 2019 Nov;43:102140. doi: 10.1016/j.fsigen.2019.102140. Epub 2019 Aug 8. Forensic Sci Int Genet. 2019. PMID: 31536876 Free article.

7

PACE: Probabilistic Assessment for Contributor Estimation- A machine learning-based assessment of the number of contributors in DNA mixtures.

Marciano MA, Adelman JD. Marciano MA, et al. Forensic Sci Int Genet. 2017 Mar;27:82-91. doi: 10.1016/j.fsigen.2016.11.006. Epub 2016 Nov 24. Forensic Sci Int Genet. 2017. PMID: 28040630

8

A hybrid approach to increase the informedness of CE-based data using locus-specific thresholding and machine learning.

Marciano MA, Williamson VR, Adelman JD. Marciano MA, et al. Forensic Sci Int Genet. 2018 Jul;35:26-37. doi: 10.1016/j.fsigen.2018.03.017. Epub 2018 Mar 31. Forensic Sci Int Genet. 2018. PMID: 29627762

9

Enhancing research and collaboration in forensic science: A primer on data sharing.

Marciano MA, Maynard HP 3rd. Marciano MA, et al. Forensic Sci Int Synerg. 2023 Feb 24;6:100323. doi: 10.1016/j.fsisyn.2023.100323. eCollection 2023. Forensic Sci Int Synerg. 2023. PMID: 36911010 Free PMC article. No abstract available.

10

Revisiting single cell analysis in forensic science.

Watkins DRL, Myers D, Xavier HE, Marciano MA. Watkins DRL, et al. Among authors: marciano ma. Sci Rep. 2021 Mar 29;11(1):7054. doi: 10.1038/s41598-021-86271-6. Sci Rep. 2021. PMID: 33782417 Free PMC article.

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