Probabilistic expert systems for handling artifacts in complex DNA mixtures.
This paper presents a coherent probabilistic framework for taking account of allelic dropout, stutter bands and silent alleles when interpreting STR DNA profiles from a mixture sample using peak size information arising from a PCR analysis. This information can be exploited for evaluating the eviden...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
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2011
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| _version_ | 1797098589904699392 |
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| author | Cowell, R Lauritzen, S Mortera, J |
| author_facet | Cowell, R Lauritzen, S Mortera, J |
| author_sort | Cowell, R |
| collection | OXFORD |
| description | This paper presents a coherent probabilistic framework for taking account of allelic dropout, stutter bands and silent alleles when interpreting STR DNA profiles from a mixture sample using peak size information arising from a PCR analysis. This information can be exploited for evaluating the evidential strength for a hypothesis that DNA from a particular person is present in the mixture. It extends an earlier Bayesian network approach that ignored such artifacts. We illustrate the use of the extended network on a published casework example. |
| first_indexed | 2024-03-07T05:11:47Z |
| format | Journal article |
| id | oxford-uuid:dbcd59d8-249b-402d-af20-f2b005dbc0b5 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T05:11:47Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | oxford-uuid:dbcd59d8-249b-402d-af20-f2b005dbc0b52022-03-27T09:13:12ZProbabilistic expert systems for handling artifacts in complex DNA mixtures.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:dbcd59d8-249b-402d-af20-f2b005dbc0b5EnglishSymplectic Elements at Oxford2011Cowell, RLauritzen, SMortera, JThis paper presents a coherent probabilistic framework for taking account of allelic dropout, stutter bands and silent alleles when interpreting STR DNA profiles from a mixture sample using peak size information arising from a PCR analysis. This information can be exploited for evaluating the evidential strength for a hypothesis that DNA from a particular person is present in the mixture. It extends an earlier Bayesian network approach that ignored such artifacts. We illustrate the use of the extended network on a published casework example. |
| spellingShingle | Cowell, R Lauritzen, S Mortera, J Probabilistic expert systems for handling artifacts in complex DNA mixtures. |
| title | Probabilistic expert systems for handling artifacts in complex DNA mixtures. |
| title_full | Probabilistic expert systems for handling artifacts in complex DNA mixtures. |
| title_fullStr | Probabilistic expert systems for handling artifacts in complex DNA mixtures. |
| title_full_unstemmed | Probabilistic expert systems for handling artifacts in complex DNA mixtures. |
| title_short | Probabilistic expert systems for handling artifacts in complex DNA mixtures. |
| title_sort | probabilistic expert systems for handling artifacts in complex dna mixtures |
| work_keys_str_mv | AT cowellr probabilisticexpertsystemsforhandlingartifactsincomplexdnamixtures AT lauritzens probabilisticexpertsystemsforhandlingartifactsincomplexdnamixtures AT morteraj probabilisticexpertsystemsforhandlingartifactsincomplexdnamixtures |