混合STR图谱拆分方法及智能化趋势OA
Mixed STR Profiles De-convolution Methods and the Intelligence Trends
在法医物证领域,解释和分析混合STR图谱因其复杂性和挑战性一直是备受关注的研究焦点,在疑难案件侦办方面有着广泛的应用.为提升混合STR图谱拆分的准确率和速度,适应复杂图谱噪声下低模板量的影响,国内外学者对混合STR图谱的拆分进行了一系列研究.近几年,人工智能方法有望成为混合STR图谱拆分新的解决方案.本文综述了混合STR图谱拆分的相关研究进展,结合混合STR图谱拆分过程中的重点、难点,提出了人工智能算法在该领域潜在的应用方向,旨在为利用人工智能方法解决混合STR图谱拆分问题提供参考和思路.
In the field of forensic genetics,the interpretation and analysis of mixed STR profiles have been a focal point of research due to their complexity and challenges,playing a crucial role in the investigation of difficult cases.To improve the accuracy and speed of mixed STR profile separation and to adapt to the effects of low template quantities under complex profile noise,domestic and intemationall scholars have conducted a series of studies on mixed STR profile separation.In recent years,artificial intelligence methods have shown promise as a new solution for mixed STR profile separation.This paper reviews the research progress related to mixed STR profile separation,highlights the key and challenging aspects of the separation process,and proposes potential applications of artificial intelligence algorithms in this field.This paper aims to provide reference and insights for solving the problem of mixed STR profile separation using artificial intelligence methods.
毛哲华;徐珍;杨帆;凃政;赵兴春;曾亮
北京理工大学网络空间安全学院,北京 100081公安部鉴定中心,北京 100038公安部鉴定中心,北京 100038公安部鉴定中心,北京 100038公安部鉴定中心,北京 100038北京理工大学网络空间安全学院,北京 100081
社会科学
法医遗传学DNA混合STR图谱人工智能
forensic geneticsDNAmixed STR profilesartificial intelligence(AI)
《刑事技术》 2026 (1)
57-66,10
国家重点研发计划项目(2023YFC3310500)
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