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Weijie Teng

Datos Biográficos

ID4303798
NOMBREWeijie Teng
NOMBRESWeijie
APELLIDOTeng
FIRMATENG W
AFILIACIONESInstitute of Forensic Science
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2025
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Systematic analysis of full sibling identification by adding genetic markers and reference relatives

    Open Access•Qianqian Kong, Qian-Qian Kong et al.•ARTICLE•Forensic Sciences Research•2025•Referencias: 35

    Full-sibling (FS) identification is a crucial aspect of kinship analysis. However, current FS identification methods need to be more accurate and effective for routine FS identification. In this study, the optimal cut-off values for FS identification by incorporating both the identical by state (IBS) and likelihood ratio (LR) methods under four different levels of error rates were assessed. The corresponding sensitivity, specificity, accuracy, an…

Sin obras prominentes en esta página.

  • Systematic analysis of full sibling identification by adding genetic markers and reference relatives

    Open Access•Qianqian Kong, Qian-Qian Kong et al.•ARTICLE•Forensic Sciences Research•2025•Referencias: 35

    Full-sibling (FS) identification is a crucial aspect of kinship analysis. However, current FS identification methods need to be more accurate and effective for routine FS identification. In this study, the optimal cut-off values for FS identification by incorporating both the identical by state (IBS) and likelihood ratio (LR) methods under four different levels of error rates were assessed. The corresponding sensitivity, specificity, accuracy, an…

Biology (1 obras) · Botany (1 obras) · Developmental psychology (1 obras) · Forensic and Genetic Research (1 obras) · Genetics (1 obras) · Identification (biology) (1 obras) · Psychology (1 obras) · Sibling (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae