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Validation and depth evaluation of recurrent neural network‐based ultra low‐pass genome sequencing for the detection of absence of heterozygosity: A multi‐centre study of 409 cases.

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Title: Validation and depth evaluation of recurrent neural network‐based ultra low‐pass genome sequencing for the detection of absence of heterozygosity: A multi‐centre study of 409 cases.
Authors: Qian, Yeqing1,2 (AUTHOR), Zhu, Jianjun3 (AUTHOR), Tang, Zhiguo4 (AUTHOR), Sun, Yan5 (AUTHOR), Wang, Zhonghua6 (AUTHOR), Tang, Fei6 (AUTHOR), Yang, Yun7 (AUTHOR), Fan, Linlin6 (AUTHOR), Sun, Yixi1,2 (AUTHOR), Liu, Bei1,2 (AUTHOR), Chen, Min1,2 (AUTHOR), Luo, Yuqin1,2 (AUTHOR), Hu, Junjie1,2 (AUTHOR), Yan, Kai1,2 (AUTHOR), Man, Jianfen7 (AUTHOR), Wang, Lina7 (AUTHOR), Jia, Cangcang7 (AUTHOR), Tang, Ping3 (AUTHOR), Zhu, Xinyi3 (AUTHOR), Wang, Chaohong8 (AUTHOR)
Source: Clinical & Translational Medicine. Jul2024, Vol. 14 Issue 7, p1-6. 6p.
Database: Academic Search Ultimate
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  Data: Validation and depth evaluation of recurrent neural network‐based ultra low‐pass genome sequencing for the detection of absence of heterozygosity: A multi‐centre study of 409 cases.
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  Data: <searchLink fieldCode="JN" term="%22Clinical+%26+Translational+Medicine%22">Clinical & Translational Medicine</searchLink>. Jul2024, Vol. 14 Issue 7, p1-6. 6p.
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              Text: Jul2024
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