A robust fuzzy rule based integrative feature selection strategy for gene expression data in TCGA

被引：0
|
作者：
Shicai Fan
Jianxiong Tang
Qi Tian
Chunguo Wu
机构：
[1] University of Electronic Science and Technology of China,School of Automation Engineering
[2] University of Electronic Science and Technology of China,Center for Informational Biology
[3] Jilin University,Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education
来源：
BMC Medical Genomics | / 12卷
关键词：
Integrative strategy; Expanded methylation data; Biomarker based feature selection; Robustness; Fuzzy rule; TCGA data;
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
  • [1] A robust fuzzy rule based integrative feature selection strategy for gene expression data in TCGA
    Fan, Shicai
    Tang, Jianxiong
    Tian, Qi
    Wu, Chunguo
    BMC MEDICAL GENOMICS, 2019, 12 (Suppl 1)
  • [2] Integrative analysis of methylation and gene expression data in TCGA
    Liu, Yihua
    Qiu, Peng
    2012 IEEE INTERNATIONAL WORKSHOP ON GENOMIC SIGNAL PROCESSING AND STATISTICS (GENSIPS), 2012, : 1 - 4
  • [3] Fuzzy Rule Based Clustering for Gene Expression Data
    Sinaee, Mehrnoosh
    Mansoori, Eghbal G.
    FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, MODELLING AND SIMULATION (ISMS 2013), 2013, : 7 - 11
  • [4] Quality of feature selection based on microarray gene expression data
    Maciejewski, Henryk
    COMPUTATIONAL SCIENCE - ICCS 2008, PT 3, 2008, 5103 : 140 - 147
  • [5] PSO Based Feature Selection for Clustering Gene Expression Data
    Deepthi, P. S.
    Thampi, Sabu M.
    2015 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, INFORMATICS, COMMUNICATION AND ENERGY SYSTEMS (SPICES), 2015,
  • [6] An Efficient Feature Selection Strategy Based on Multiple Support Vector Machine Technology with Gene Expression Data
    Zhang, Ying
    Deng, Qingchun
    Liang, Wenbin
    Zou, Xianchun
    BIOMED RESEARCH INTERNATIONAL, 2018, 2018
  • [7] Gene Expression Data Analysis Using Feature Weighted Robust Fuzzy -Means Clustering
    Singh, Vikas
    Verma, Nishchal K. K.
    IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2023, 22 (01) : 99 - 105
  • [8] FRBPSO: A Fuzzy Rule Based Binary PSO for Feature Selection
    Agarwal, Shikha
    Rajesh, R.
    Ranjan, Prabhat
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES INDIA SECTION A-PHYSICAL SCIENCES, 2017, 87 (02) : 221 - 233
  • [9] Feature Selection With Controlled Redundancy in a Fuzzy Rule Based Framework
    Chung, I-Fang
    Chen, Yi-Cheng
    Pal, Nikhil R.
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 26 (02) : 734 - 748
  • [10] FRBPSO: A Fuzzy Rule Based Binary PSO for Feature Selection
    Shikha Agarwal
    R. Rajesh
    Prabhat Ranjan
    Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 2017, 87 : 221 - 233
12345