A Review of the Metal Magnetic Memory Method von Bao, Sheng, Jin, Pengfei, Zhao, Zhengye, Fu, Meili

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Unraveling the genetic architecture of congenital vertebral malformation with reference to the developing spine von Zhao, Sen, Zhao, Hengqiang, Zhao, Lina, Cheng, Xi, Zheng, Zhifa, Wu, Mengfan, Wen, Wen, Wang, Shengru, Zhou, Zixiang, Xie, Haibo, Ruan, Dengfeng, Li, Qing, Liu, Xinquan, Ou, Chengzhu, Li, Guozhuang, Zhao, Zhengye, Chen, Guilin, Niu, Yuchen, Yin, Xiangjie, Hu, Yuhong, Zhang, Xiaochen, Liu, Pengfei, Qiu, Guixing, Liu, Wanlu, Zhao, Chengtian, Wu, Zhihong, Zhang, Jianguo, Wu, Nan

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Integrating deep phenotyping with genetic analysis: a comprehensive workflow for diagnosis and management of rare bone diseases von Li, Guozhuang, Xu, Kexin, Yin, Xiangjie, Yang, Jianle, Cai, Jihao, Yang, Xinyu, Li, Qing, Wang, Jie, Zhao, Zhengye, Mahesahti, Aoran, Zhang, Ning, Zhang, Terry Jianguo, Wu, Nan

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Evaluation of stress concentration degree of ferromagnetic steels based on residual magnetic field measurements von Bao, Sheng, Lou, Huangjie, Zhao, Zhengye

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Factors and predictive model associated with perioperative complications after long fusion in the treatment of adult non-degenerative scoliosis von Wu, Nan, Shao, Jiashen, Zhang, Zhen, Wang, Shengru, Li, Ziquan, Zhao, Sen, Yang, Yang, Liu, Lian, Yu, Chenxi, Liu, Sen, Zhao, Zhengye, Du, You, Zhang, Yuanqiang, Wang, Lianlei, Zhao, Yu, Yu, Keyi, Zhao, Hong, Shen, Jianxiong, Qiu, Guixing, Wu, Zhihong, Zhang, Terry Jianguo

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DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data von Liu, Jiaqi, Zhao, Hengqiang, Zheng, Yu, Dong, Lin, Zhao, Sen, Huang, Yukuan, Huang, Shengkai, Qian, Tianyi, Zou, Jiali, Liu, Shu, Li, Jun, Yan, Zihui, Li, Yalun, Zhang, Shuo, Huang, Xin, Wang, Wenyan, Li, Yiqun, Wang, Jie, Ming, Yue, Li, Xiaoxin, Xing, Zeyu, Qin, Ling, Zhao, Zhengye, Jia, Ziqi, Li, Jiaxin, Liu, Gang, Zhang, Menglu, Feng, Kexin, Wu, Jiang, Zhang, Jianguo, Yang, Yongxin, Wu, Zhihong, Liu, Zhihua, Ying, Jianming, Wang, Xin, Su, Jianzhong, Wang, Xiang, Wu, Nan

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Whole Exome Sequencing Uncovered the Genetic Architecture of Growth Hormone Deficiency Patients von Yu, Chenxi, Xie, Bobo, Zhao, Zhengye, Zhao, Sen, Liu, Lian, Cheng, Xi, Li, Xiaoxin, Cao, Bingyan, Shao, Jiashen, Chen, Jiajia, Zhao, Hengqiang, Yan, Zihui, Su, Chang, Niu, Yuchen, Song, Yanning, Wei, Liya, Wang, Yi, Ren, Xiaoya, Fan, Lijun, Zhang, Beibei, Li, Chuan, Gui, Baoheng, Zhang, Yuanqiang, Wang, Lianlei, Chen, Shaoke, Zhang, Jianguo, Wu, Zhihong, Gong, Chunxiu, Fan, Xin, Wu, Nan

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Heterozygous Recurrent Mutations Inducing Dysfunction of ROR2 Gene in Patients With Short Stature von Gui, Baoheng, Yu, Chenxi, Li, Xiaoxin, Zhao, Sen, Zhao, Hengqiang, Yan, Zihui, Cheng, Xi, Lin, Jiachen, Zheng, Haiyang, Shao, Jiashen, Zhao, Zhengye, Zhao, Lina, Niu, Yuchen, Zhao, Zhi, Wang, Huizi, Xie, Bobo, Wei, Xianda, Gui, Chunrong, Li, Chuan, Chen, Shaoke, Wang, Yi, Song, Yanning, Gong, Chunxiu, Zhang, Terry Jianguo, Fan, Xin, Wu, Zhihong, Chen, Yujun, Wu, Nan

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Perturbations of genes essential for Müllerian duct and Wölffian duct development in Mayer-Rokitansky-Küster-Hauser syndrome von Chen, Na, Zhao, Sen, Jolly, Angad, Wang, Lianlei, Pan, Hongxin, Yuan, Jian, Chen, Shaoke, Koch, André, Ma, Congcong, Tian, Weijie, Jia, Ziqi, Kang, Jia, Zhao, Lina, Qin, Chenglu, Fan, Xin, Rall, Katharina, Coban-Akdemir, Zeynep, Chen, Zefu, Jhangiani, Shalini, Liang, Ze, Niu, Yuchen, Li, Xiaoxin, Yan, Zihui, Wu, Yong, Dong, Shuangshuang, Song, Chengcheng, Qiu, Guixing, Zhang, Shuyang, Liu, Pengfei, Posey, Jennifer E., Zhang, Feng, Luo, Guangnan, Wu, Zhihong, Qiu, Guixing, Wu, Zhihong, Zhang, Terry Jianguo, Wu, Nan, Wang, Shengru, Liu, Jiaqi, Liu, Sen, Zuo, Yuzhi, Liu, Gang, Yu, Chenxi, Liu, Lian, Shao, Jiashen, Zhao, Sen, Yan, Zihui, Zhao, Hengqiang, Niu, Yuchen, Li, Xiaoxin, Wang, Huizi, Ma, Congcong, Chen, Zefu, Liu, Bowen, Cheng, Xi, Lin, Jiachen, Du, Huakang, Li, Yaqi, Song, Shuang, Tian, Weijie, Xie, Zhixin, Zhao, Zhengye, Zhao, Lina, Zhao, Zhi, Zheng, Zhifa, Huang, Yingzhao, Su, Jianzhong, Zhang, Jianguo, Chen, Eugenia Y., Rouskas, Konstantinos, Glentis, Stavros, Bacopoulou, Flora, Deligeoroglou, Efthymios, Chrousos, George, Lyonnet, Stanislas, Polak, Michel, Rosenberg, Carla, Dingeldein, Irene, Bonilla, Ximena, Borel, Christelle, Gibbs, Richard A., Dietrich, Jennifer E., Dimas, Antigone S., Antonarakis, Stylianos E., Brucker, Sara Y., Lupski, James R., Wu, Nan, Zhu, Lan

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PhenoApt leverages clinical expertise to prioritize candidate genes via machine learning von Chen, Zefu, Zheng, Yu, Yang, Yongxin, Huang, Yingzhao, Zhao, Sen, Zhao, Hengqiang, Yu, Chenxi, Dong, Xiying, Zhang, Yuanqiang, Wang, Lianlei, Zhao, Zhengye, Wang, Shengru, Yang, Yang, Ming, Yue, Su, Jianzhong, Qiu, Guixing, Wu, Zhihong, Zhang, Terry Jianguo, Wu, Nan

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Evaluation of stress concentration of U‐shaped notch based on residual magnetic field measurements von Bao, Sheng, Jin, Pengfei, Zhao, Zhengye, Luo, Qiang

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Phenotype expansion of variants affecting p38 MAPK signaling in hypospadias patients von Lin, Defu, Du, Huakang, Zhao, Sen, Liu, Bowen, Song, Hongcheng, Wang, Guannan, Zhang, Weiping, Liang, Haiyan, Liu, Pei, Liu, Chao, Han, Wenwen, Li, Zhenwu, Yang, Yang, Chen, Shuofan, Zhao, Lina, Li, Xiaoxin, Wu, Zhihong, Sun, Ning, Wu, Nan

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Core planar cell polarity genes VANGL1 and VANGL2 in predisposition to congenital vertebral malformations von Feng, Xin, Ye, Yongyu, Zhang, Jianan, Zhang, Yuanqiang, Zhao, Sen, Mak, Judith C W, Otomo, Nao, Zhao, Zhengye, Niu, Yuchen, Yonezawa, Yoshiro, Li, Guozhuang, Lin, Mao, Li, Xiaoxin, Cheung, Prudence Wing Hang, Xu, Kexin, Takeda, Kazuki, Wang, Shengru, Xie, Junjie, Kotani, Toshiaki, Choi, Vanessa N T, Song, You-Qiang, Yang, Yang, Luk, Keith Dip Kei, Lee, Kin Shing, Li, Ziquan, Li, Pik Shan, Leung, Connie Y H, Lin, Xiaochen, Wang, Xiaolu, Qiu, Guixing, Watanabe, Kota, Wu, Zhihong, Posey, Jennifer E, Ikegawa, Shiro, Lupski, James R, Cheung, Jason Pui Yin, Zhang, Terry Jianguo, Gao, Bo, Wu, Nan

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Disruptive NADSYN1 Variants Implicated in Congenital Vertebral Malformations von Lin, Jiachen, Zhao, Lina, Zhao, Sen, Li, Shengjie, Zhao, Zhengye, Chen, Zefu, Zheng, Zhifa, Shao, Jiashen, Niu, Yuchen, Li, Xiaoxin, Zhang, Jianguo Terry, Wu, Zhihong, Wu, Nan

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SIGMA leverages protein structural information to predict the pathogenicity of missense variants von Zhao, Hengqiang, Du, Huakang, Zhao, Sen, Chen, Zefu, Li, Yaqi, Xu, Kexin, Liu, Bowen, Cheng, Xi, Wen, Wen, Li, Guozhuang, Chen, Guilin, Zhao, Zhengye, Qiu, Guixing, Liu, Pengfei, Zhang, Terry Jianguo, Wu, Zhihong, Wu, Nan

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Vulnerability Data Fusion Method Based on the D-S theory of Evidence von Zhong Qiuxi, Zhao Zhengye

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Additional file 22 of DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data von Liu, Jiaqi, Zhao, Hengqiang, Zheng, Yu, Dong, Lin, Zhao, Sen, Huang, Yukuan, Huang, Shengkai, Qian, Tianyi, Zou, Jiali, Liu, Shu, Li, Jun, Yan, Zihui, Li, Yalun, Zhang, Shuo, Huang, Xin, Wang, Wenyan, Li, Yiqun, Wang, Jie, Ming, Yue, Li, Xiaoxin, Xing, Zeyu, Qin, Ling, Zhao, Zhengye, Jia, Ziqi, Li, Jiaxin, Liu, Gang, Zhang, Menglu, Feng, Kexin, Wu, Jiang, Zhang, Jianguo, Yang, Yongxin, Wu, Zhihong, Liu, Zhihua, Ying, Jianming, Wang, Xin, Su, Jianzhong, Wang, Xiang, Wu, Nan

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Additional file 18 of DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data von Liu, Jiaqi, Zhao, Hengqiang, Zheng, Yu, Dong, Lin, Zhao, Sen, Huang, Yukuan, Huang, Shengkai, Qian, Tianyi, Zou, Jiali, Liu, Shu, Li, Jun, Yan, Zihui, Li, Yalun, Zhang, Shuo, Huang, Xin, Wang, Wenyan, Li, Yiqun, Wang, Jie, Ming, Yue, Li, Xiaoxin, Xing, Zeyu, Qin, Ling, Zhao, Zhengye, Jia, Ziqi, Li, Jiaxin, Liu, Gang, Zhang, Menglu, Feng, Kexin, Wu, Jiang, Zhang, Jianguo, Yang, Yongxin, Wu, Zhihong, Liu, Zhihua, Ying, Jianming, Wang, Xin, Su, Jianzhong, Wang, Xiang, Wu, Nan

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Additional file 16 of DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data von Liu, Jiaqi, Zhao, Hengqiang, Zheng, Yu, Dong, Lin, Zhao, Sen, Huang, Yukuan, Huang, Shengkai, Qian, Tianyi, Zou, Jiali, Liu, Shu, Li, Jun, Yan, Zihui, Li, Yalun, Zhang, Shuo, Huang, Xin, Wang, Wenyan, Li, Yiqun, Wang, Jie, Ming, Yue, Li, Xiaoxin, Xing, Zeyu, Qin, Ling, Zhao, Zhengye, Jia, Ziqi, Li, Jiaxin, Liu, Gang, Zhang, Menglu, Feng, Kexin, Wu, Jiang, Zhang, Jianguo, Yang, Yongxin, Wu, Zhihong, Liu, Zhihua, Ying, Jianming, Wang, Xin, Su, Jianzhong, Wang, Xiang, Wu, Nan

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Additional file 11 of DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data von Liu, Jiaqi, Zhao, Hengqiang, Zheng, Yu, Dong, Lin, Zhao, Sen, Huang, Yukuan, Huang, Shengkai, Qian, Tianyi, Zou, Jiali, Liu, Shu, Li, Jun, Yan, Zihui, Li, Yalun, Zhang, Shuo, Huang, Xin, Wang, Wenyan, Li, Yiqun, Wang, Jie, Ming, Yue, Li, Xiaoxin, Xing, Zeyu, Qin, Ling, Zhao, Zhengye, Jia, Ziqi, Li, Jiaxin, Liu, Gang, Zhang, Menglu, Feng, Kexin, Wu, Jiang, Zhang, Jianguo, Yang, Yongxin, Wu, Zhihong, Liu, Zhihua, Ying, Jianming, Wang, Xin, Su, Jianzhong, Wang, Xiang, Wu, Nan

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