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FF‐QuantSC: accurate quantification of fetal fraction by a neural network model

Abstract Background Noninvasive prenatal testing (NIPT) is one of the most commonly employed clinical measures for screening of fetal aneuploidy. Fetal Fraction (ff) has been demonstrated to be one of the key factors affecting the performance of NIPT. Accurate quantification of ff plays vital role i...

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Principais autores: Yuying Yuan, Xianghua Chai, Na Liu, Bida Gu, Shengting Li, Ya Gao, Lijun Zhou, Qiang Liu, Fan Yang, Jingjuan Liu, Jiao Qiu, Jinjin Zhang, Yumei Hou, Miaolan Cen, Zhongming Tian, Weijiang Tang, Hongyun Zhang, Fang Chen, Ye Yin, Wei Wang
Formato: Artigo
Idioma:Inglês
Publicado em: Wiley 2020-06-01
coleção:Molecular Genetics & Genomic Medicine
Assuntos:
female pregnancy
fetal fraction
FF‐QuantSC
neural network
NIPT
shallow‐coverage sequencing
Acesso em linha:https://doi.org/10.1002/mgg3.1232
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