刘珂博士拥有计算机科学、生物学、统计学科研背景，目前致力于运用多种计算手段（如统计学习、人工智能）在生物医学大数据上开展知识发现以助力复杂疾病从“实验台到病床旁” (bench to bedside) 的转化医学研究。目前已经发表的代表性成果如下：
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).
欢迎具有生物医学背景、计算机科学背景、数学统计学背景的同学报考研究生！
