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Heterogeneous graph framework for predicting the association between lncRNA and disease and case on uterine fibroid.
Sheng, Qing-Jing; Tan, Yuan; Zhang, Liyuan; Wu, Zhi-Ping; Wang, Beiying; He, Xiao-Ying.
Affiliation
  • Sheng QJ; Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tong Ji University, Shanghai, China; Shanghai Key Laboratory of Maternal and Fetal Medicine, Shanghai First Maternity and Infant Hospital, Shanghai, China.
  • Tan Y; Department of Integrated Traditional Chinese Medicine (TCM) & Western Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China; Shanghai Key Laboratory of Maternal and Fetal Medicine, Shanghai First Maternity and Infant Hospital, Shanghai, Ch
  • Zhang L; School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China.
  • Wu ZP; Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tong Ji University, Shanghai, China; Shanghai Key Laboratory of Maternal and Fetal Medicine, Shanghai First Maternity and Infant Hospital, Shanghai, China.
  • Wang B; Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tong Ji University, Shanghai, China; Shanghai Key Laboratory of Maternal and Fetal Medicine, Shanghai First Maternity and Infant Hospital, Shanghai, China.
  • He XY; Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tong Ji University, Shanghai, China; Shanghai Key Laboratory of Maternal and Fetal Medicine, Shanghai First Maternity and Infant Hospital, Shanghai, China. Electronic address: hexiaoying@51mch.com.
Comput Biol Med ; 165: 107331, 2023 10.
Article in En | MEDLINE | ID: mdl-37619322
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA, Long Noncoding / Leiomyoma Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Comput Biol Med Year: 2023 Document type: Article Affiliation country: China
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA, Long Noncoding / Leiomyoma Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Comput Biol Med Year: 2023 Document type: Article Affiliation country: China