Predicting gene function using hierarchical multi-label decision tree ensembles

被引：0
|
作者：
Leander Schietgat
Celine Vens
Jan Struyf
Hendrik Blockeel
Dragi Kocev
Sašo Džeroski
机构：
[1] Katholieke Universiteit Leuven,Department of Computer Science
[2] Jožef Stefan Institute,Department of Knowledge Technologies
来源：
BMC Bioinformatics | / 11卷 / 1期
关键词：
Gene Ontology; Predictive Performance; Gene Function Prediction; Decision Tree Learner; Predict Gene Function;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Probabilistic Label Tree for Streaming Multi-Label Learning
    Wei, Tong
    Shi, Jiang-Xin
    Li, Yu-Feng
    [J]. KDD '21: PROCEEDINGS OF THE 27TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2021, : 1801 - 1811
  • [42] Investigating the Impact of Diversity in Ensembles of Multi-label Classifiers
    Nascimento, Diego S. C.
    Canuto, Anne M. P.
    Bandeira, Danilo R. C.
    Araujo, Daniel
    [J]. 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2018,
  • [43] Cluster Tree based Multi-Label Classification for Protein Function Prediction
    Wu, Qingyao
    Ye, Yunming
    Zhang, Xiaofeng
    Ho, Shen-Shyang
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2013,
  • [44] An evolutionary approach to build ensembles of multi-label classifiers
    Moyano, Jose M.
    Gibaja, Eva L.
    Cios, Krzysztof J.
    Ventura, Sebastian
    [J]. INFORMATION FUSION, 2019, 50 : 168 - 180
  • [45] GML_DT: A Novel Graded Multi-label Decision Tree Classifier
    Farsal, Wissal
    Ramdani, Mohammed
    Anter, Samir
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, 12 (12) : 249 - 254
  • [46] Hybrid Decision Tree Architecture Utilizing Local SVMs for Multi-Label Classification
    Madjarov, Gjorgji
    Gjorgjevikj, Dejan
    [J]. HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, PT II, 2012, 7209 : 1 - 12
  • [47] A Parallel Decision Tree Based Algorithm on MPI for Multi-label Classification Learning
    Zhou, Yihao
    Ji, Zhenzhou
    Wang, Kaiyu
    [J]. PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ARTIFICIAL INTELLIGENCE (CAAI 2017), 2017, 134 : 366 - 369
  • [48] Predicting Label Distribution from Multi-label Ranking
    Lu, Yunan
    Jia, Xiuyi
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35, NEURIPS 2022, 2022,
  • [49] Predicting Protein Function using Decision Tree
    Singh, Manpreet
    Wadhwa, Parminder Kaur
    Kaur, Surinder
    [J]. PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 29, 2008, 29 : 350 - +
  • [50] Active learning for hierarchical multi-label classification
    Nakano, Felipe Kenji
    Cerri, Ricardo
    Vens, Celine
    [J]. DATA MINING AND KNOWLEDGE DISCOVERY, 2020, 34 (05) : 1496 - 1530
12345