关键词云

成果统计

合作作者[TOP 5]

  • 刘雪松

    合作成果数:8

  • 刁凯旋

    合作成果数:7

  • 吴涛

    合作成果数:6

  • 吴宸旭

    合作成果数:6

  • 赵翔宇

    合作成果数:5

王金禹 博士生
所在学院: 生命科学与技术学院
职务: --
研究方向:
备注: --
王金禹

科研成果

7 5448 984 53 0 5
Items Views Downloads TC[WOS] TC[CSCD] H-index
排序方式:
 [1] Wu, Tao.,Chen, Jing.,Diao, Kaixuan.,Wang, Guangshuai.,Wang, Jinyu.,...&Liu, Xue-Song.(2023).Neodb: a comprehensive neoantigen database and discovery platform for cancer immunotherapy.DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION,2023.浏览/下载:728/156; 被引[WOS]:5; IF:3.4/4.2评论推荐收藏
 [2] Huizi Yao.,Huimin Li.,Jinyu Wang.,Tao Wu.,Wei Ning.,...&Xue-Song Liu.(2023).Copy number alteration features in pan-cancer homologous recombination deficiency prediction and biology.COMMUNICATION BIOLOGY,6(1),527.浏览/下载:392/3; 被引[WOS]:2; IF:5.2/5.6评论推荐收藏
 [3] Ning, Wei.,Wu, Tao.,Wu, Chenxu.,Wang, Shixiang.,Tao, Ziyu.,...&Liu, Xue-Song.(2023).Accurate prediction of pan-cancer types using machine learning with minimal number of DNA methylation sites.JOURNAL OF MOLECULAR CELL BIOLOGY.浏览/下载:736/9; 被引[WOS]:1; IF:5.3/6.1评论推荐收藏
 [4] Wang, Guangshuai.,Wu, Tao.,Ning, Wei.,Diao, Kaixuan.,Sun, Xiaoqin.,...&Liu, Xue-Song.(2023).TLimmuno2: predicting MHC class II antigen immunogenicity through transfer learning.BRIEFINGS IN BIOINFORMATICS.浏览/下载:506/5; 被引[WOS]:10; IF:6.8/7.9评论推荐收藏
 [5] Tao, Ziyu.,Wang, Shixiang.,Wu, Chenxu.,Wu, Tao.,Zhao, Xiangyu.,...&Liu, Xue-Song.(2023).The repertoire of copy number alteration signatures in human cancer.BRIEFINGS IN BIOINFORMATICS.浏览/下载:754/248; 被引[WOS]:10; IF:6.8/7.9评论推荐收藏
 [6] Diao, Kaixuan.,Chen, Jing.,Wu, Tao.,Wang, Xuan.,Wang, Guangshuai.,...&Liu, Xue-Song.(2022).Seq2Neo: A Comprehensive Pipeline for Cancer Neoantigen Immunogenicity Prediction.INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES,23(19).浏览/下载:1503/279; 被引[WOS]:18; IF:4.9/5.6评论推荐收藏
 [7] Zhao, Xiangyu.,Chen, Yuxing.,Sun, Xiaoqin.,He, Zaoke.,Wu, Tao.,...&Liu, Xue-Song.(2022).Oncogenic EFNA4 Amplification Promotes Lung Adenocarcinoma Lymph Node Metastasis.CANCERS,14(17).浏览/下载:829/284; 被引[WOS]:7; IF:4.5/4.9评论推荐收藏