📝 发表

📖 期刊论文

(* 共同第一作者,# 通讯作者)

BMC Bioinformatics 2016
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McTwo: a two-step feature selection algorithm based on maximal information coefficient
Ruiquan Ge*, Manli Zhou*, Youxi Luo*, Qinghan Meng, Guoqin Mai#, Dongli Ma#, Guoqing Wang#, and Fengfeng Zhou#.

  • McTwo utilizes the Maximal Information Coefficient (MIC) to identify features with strong associations to phenotypes while minimizing redundancy among selected features.
  • Academic Impact: McTwo has been cited in various scholarly articles, indicating its contribution to the field of bioinformatics and its role in advancing feature selection methodologies.
  • Industry Impact: While specific industrial applications are not detailed in the article, the principles underlying McTwo have the potential to influence data analysis strategies in biotechnology and pharmaceutical industries, particularly in areas requiring efficient handling of high-dimensional data.

🖊️ 会议论文

📚 著作

  • Recent Advances in Biological Network Analysis [Chapter] (2021) Computational Methods for Protein–Protein Interaction Network Alignment, Ruiquan Ge, Qing Wu, Jinbo Xu

  • Frontiers in Genetics (2022) [Editor] Machine learning for peptide structure, function, and design, Ruiquan Ge, Chuan Dong, Juexin Wang, Yanjie Wei

🔎 专利

  • 授权公告号:CN 112908418 B 一种基于字典学习的氨基酸序列特征提取方法

  • 授权公告号:CN 114093427 B 一种基于深度学习和机器学习的抗病毒肽预测方法

  • 授权公告号:CN 114093512 B 一种基于多模态数据和深度学习模型的生存预测方法