BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

191 related articles for article (PubMed ID: 29453054)

  • 1. Determining the number of contributors to DNA mixtures in the low-template regime: Exploring the impacts of sampling and detection effects.
    Norsworthy S; Lun DS; Grgicak CM
    Leg Med (Tokyo); 2018 May; 32():1-8. PubMed ID: 29453054
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An assessment of the information content of likelihood ratios derived from complex mixtures.
    Marsden CD; Rudin N; Inman K; Lohmueller KE
    Forensic Sci Int Genet; 2016 May; 22():64-72. PubMed ID: 26851613
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Distinguishing between donors and their relatives in complex DNA mixtures with binary models.
    Slooten K
    Forensic Sci Int Genet; 2016 Mar; 21():95-109. PubMed ID: 26745184
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Inclusion probability with dropout: an operational formula.
    Milot E; Courteau J; Crispino F; Mailly F
    Forensic Sci Int Genet; 2015 May; 16():71-76. PubMed ID: 25559642
    [TBL] [Abstract][Full Text] [Related]  

  • 5. CEESIt: A computational tool for the interpretation of STR mixtures.
    Swaminathan H; Garg A; Grgicak CM; Medard M; Lun DS
    Forensic Sci Int Genet; 2016 May; 22():149-160. PubMed ID: 26946255
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Familial searching on DNA mixtures with dropout.
    Slooten K
    Forensic Sci Int Genet; 2016 May; 22():128-138. PubMed ID: 26905597
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Using simulated microhaplotype genotyping data to evaluate the value of machine learning algorithms for inferring DNA mixture contributor numbers.
    Wang H; Zhu Q; Huang Y; Cao Y; Hu Y; Wei Y; Wang Y; Hou T; Shan T; Dai X; Zhang X; Wang Y; Zhang J
    Forensic Sci Int Genet; 2024 Mar; 69():103008. PubMed ID: 38244524
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Validation of a DNA mixture statistics tool incorporating allelic drop-out and drop-in.
    Mitchell AA; Tamariz J; O'Connell K; Ducasse N; Budimlija Z; Prinz M; Caragine T
    Forensic Sci Int Genet; 2012 Dec; 6(6):749-61. PubMed ID: 22999739
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Precision DNA Mixture Interpretation with Single-Cell Profiling.
    Ge J; King JL; Smuts A; Budowle B
    Genes (Basel); 2021 Oct; 12(11):. PubMed ID: 34828255
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Investigation into the effect of mixtures comprising related people on non-donor likelihood ratios, and potential practises to mitigate providing misleading opinions.
    Kalafut T; Bright JA; Taylor D; Buckleton J
    Forensic Sci Int Genet; 2022 Jul; 59():102691. PubMed ID: 35390645
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Least-square deconvolution: a framework for interpreting short tandem repeat mixtures.
    Wang T; Xue N; Birdwell JD
    J Forensic Sci; 2006 Nov; 51(6):1284-97. PubMed ID: 17199614
    [TBL] [Abstract][Full Text] [Related]  

  • 12. TrueAllele(®) Genotype Identification on DNA Mixtures Containing up to Five Unknown Contributors.
    Perlin MW; Hornyak JM; Sugimoto G; Miller KW
    J Forensic Sci; 2015 Jul; 60(4):857-68. PubMed ID: 26189920
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identifying contributors of DNA mixtures by means of quantitative information of STR typing.
    Tvedebrink T; Eriksen PS; Mogensen HS; Morling N
    J Comput Biol; 2012 Jul; 19(7):887-902. PubMed ID: 21210742
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Complex DNA mixture analysis in a forensic context: evaluating the probative value using a likelihood ratio model.
    Haned H; Benschop CCG; Gill PD; Sijen T
    Forensic Sci Int Genet; 2015 May; 16():17-25. PubMed ID: 25485478
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluation of large-scale highly polymorphic microhaplotypes in complex DNA mixtures analysis using RMNE method.
    Zhu Q; Wang H; Cao Y; Huang Y; Wei Y; Hu Y; Dai X; Shan T; Wang Y; Zhang J
    Forensic Sci Int Genet; 2023 Jul; 65():102874. PubMed ID: 37075688
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Mixture interpretation: Experimental and simulated reevaluation of qualitative analysis.
    Manabe S; Mori Y; Kawai C; Ozeki M; Tamaki K
    Leg Med (Tokyo); 2013 Mar; 15(2):66-71. PubMed ID: 23089142
    [TBL] [Abstract][Full Text] [Related]  

  • 17. EuroForMix: An open source software based on a continuous model to evaluate STR DNA profiles from a mixture of contributors with artefacts.
    Bleka Ø; Storvik G; Gill P
    Forensic Sci Int Genet; 2016 Mar; 21():35-44. PubMed ID: 26720812
    [TBL] [Abstract][Full Text] [Related]  

  • 18. NOCIt: a computational method to infer the number of contributors to DNA samples analyzed by STR genotyping.
    Swaminathan H; Grgicak CM; Medard M; Lun DS
    Forensic Sci Int Genet; 2015 May; 16():172-180. PubMed ID: 25625964
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The interpretation of single source and mixed DNA profiles.
    Taylor D; Bright JA; Buckleton J
    Forensic Sci Int Genet; 2013 Sep; 7(5):516-28. PubMed ID: 23948322
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Evaluating forensic DNA profiles using peak heights, allowing for multiple donors, allelic dropout and stutters.
    Puch-Solis R; Rodgers L; Mazumder A; Pope S; Evett I; Curran J; Balding D
    Forensic Sci Int Genet; 2013 Sep; 7(5):555-63. PubMed ID: 23948327
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.