刘珂，教授，博士生导师，山东大学齐鲁青年学者。刘珂教授拥有计算机科学、生物学、统计学科研背景，长期致力于运用多种计算手段（如统计学习、人工智能）开展复杂疾病的基础机制研究和转化研究, 目前兼任山东省生物信息学会理事和中国生物信息学与系统生物学会转化信息学专委会秘书长。
代表性科研成果
1. Ke Liu, Patric Newbury, Benjamin Glicksberg, Eran Andrechek and Bin Chen. “Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data”. Nature Communications, 10 (2138) (2019).
2. Ke Liu, Elizabeth Theusch, Yun Zhou, Tal Ashuach, Andrea S.Dose, Peter J.Bickel, Marisa W. Medina and Haiyan Huang. “GeneFishing to reconstruct comprehensive context-specific portraits of biological processes and its application to cholesterol metabolism”. Proceedings of the National Academy of Sciences of the United States of America, 116 (38), 18943-18950, (2019).
3. Ke Liu, Omkar Kulkarni, Martin Witteveen-Lane, Bin Chen, and Dave Chesla. “MetBERT: a generalizable deep learning model for prediction of metastatic cancer”. AMIA 2022 Informatics Summit.
4. Yugang Wang, Yusong R. Guo, Ke Liu, Zheng Yin, Rui Liu, Yan Xia, Lin Tan, Peiying Yang, Jong-Ho Lee, Xin-jian Li, David Hawke, Yanhua Zheng, Xu Qian, Jianxin Lyu, Jie He, Dongming Xing, Yizhi Jane Tao and Zhimin Lu. “KAT2A coupled with the α-KGDH complex acts as a histone H3 succinyltransferase”. Nature, 552, 273-277 (2017).
5. Ke Liu, Zhangming Yan, Yuchao Li and Zhirong Sun. “Linc2GO: a human lincRNA function annotation resource based on ceRNA hypothesis”. Bioinformatics, 29(17):2221-2222 (2013).
实验室招聘欢迎具有预防医学、计算机科学、生命科学与医学、数理统计学、物理学背景的同学报考研究生（硕士&博士）。实验室长期招聘博士后，欢迎有意者发邮件联系。
研究方向
1. 人类复杂疾病发生发展机制的多组学解析2. 深度学习的可解释性
