Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Christophe Creeten"'
Autor:
Titia Sijen, Jeroen de Jong, Klaas Slooten, Dennis Kruise, Heidi van Paassen, Corina C.G. Benschop, Jerry Hoogenboom, Alexander L.J. Kneppers, Patrick Dieltjes, Vincent van Marion, Jord H. A. Nagel, Pauline Hovers, Kristy Steensma, Christophe Creeten, Martin Slagter, Raymond Parag
Publikováno v:
Forensic Science International: Genetics, 42, 81-89. Elsevier Ireland Ltd
Slooten, K 2019, ' DNAxs/DNAStatistX: Development and validation of a software suite for the data management and probabilistic interpretation of DNA profiles ', Forensic Science International: Genetics, vol. 42, pp. 81-89 . https://doi.org/10.1016/j.fsigen.2019.06.015
Slooten, K 2019, ' DNAxs/DNAStatistX: Development and validation of a software suite for the data management and probabilistic interpretation of DNA profiles ', Forensic Science International: Genetics, vol. 42, pp. 81-89 . https://doi.org/10.1016/j.fsigen.2019.06.015
The data management, interpretation and comparison of sets of DNA profiles can be complex, time-consuming and error-prone when performed manually. This, combined with the growing numbers of genetic markers in forensic identification systems calls for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f71b2244947eb9af97e79f7507d9557
https://research.vu.nl/en/publications/9f099735-11ea-445a-980d-5e11ec8ca63a
https://research.vu.nl/en/publications/9f099735-11ea-445a-980d-5e11ec8ca63a
Publikováno v:
ESEC/SIGSOFT FSE
Network traffic data contains a wealth of information for use in security analysis and application development. Unfortunately, it also usually contains confidential or otherwise sensitive information, prohibiting sharing and analysis. Existing automa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f661d364eb1cd90a76170027b1f63de
https://doi.org/10.1145/3106237.3117777
https://doi.org/10.1145/3106237.3117777
