Prediction of breast cancer by profiling of urinary RNA metabolites using Support Vector Machine-based feature selection

被引:0
|
作者
Carsten Henneges
Dino Bullinger
Richard Fux
Natascha Friese
Harald Seeger
Hans Neubauer
Stefan Laufer
Christoph H Gleiter
Matthias Schwab
Andreas Zell
Bernd Kammerer
机构
[1] Center for Bioinformatics Tübingen (ZBIT),University Hospital Tübingen
[2] Institute of Pharmacology and Toxicology,University Hospital Tübingen
[3] Department of Clinical Pharmacology,undefined
[4] Universitäts-Frauenklinik,undefined
[5] Institute of Pharmacy,undefined
[6] Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology,undefined
来源
BMC Cancer | / 9卷
关键词
Support Vector Machine; Feature Selection; Linear Discriminant Analysis; Matthews Correlation Coefficient; Feature Combination;
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] Prediction of breast cancer by profiling of urinary RNA metabolites using Support Vector Machine-based feature selection
    Henneges, Carsten
    Bullinger, Dino
    Fux, Richard
    Friese, Natascha
    Seeger, Harald
    Neubauer, Hans
    Laufer, Stefan
    Gleiter, Christoph H.
    Schwab, Matthias
    Zell, Andreas
    Kammerer, Bernd
    [J]. BMC CANCER, 2009, 9
  • [2] A feature selection using improved dragonfly algorithm with support vector machine for breast cancer prediction
    Mary, S. Roselin
    Prasad, R. Murali
    Suguna, R.
    [J]. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION, 2023, 11 (05): : 2039 - 2049
  • [3] A support vector machine-based ensemble algorithm for breast cancer diagnosis
    Wang, Haifeng
    Zheng, Bichen
    Yoon, Sang Won
    Ko, Hoo Sang
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2018, 267 (02) : 687 - 699
  • [4] SUPPORT VECTOR MACHINE-BASED ULTRAWIDEBAND BREAST CANCER DETECTION SYSTEM
    Byrne, D.
    O'Halloran, M.
    Jones, E.
    Glavin, M.
    [J]. JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS, 2011, 25 (13) : 1807 - 1816
  • [5] Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods
    Eskandar Taghizadeh
    Sahel Heydarheydari
    Alihossein Saberi
    Shabnam JafarpoorNesheli
    Seyed Masoud Rezaeijo
    [J]. BMC Bioinformatics, 23
  • [6] Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods
    Taghizadeh, Eskandar
    Heydarheydari, Sahel
    Saberi, Alihossein
    JafarpoorNesheli, Shabnam
    Rezaeijo, Seyed Masoud
    [J]. BMC BIOINFORMATICS, 2022, 23 (01)
  • [7] A reliable method for colorectal cancer prediction based on feature selection and support vector machine
    Dandan Zhao
    Hong Liu
    Yuanjie Zheng
    Yanlin He
    Dianjie Lu
    Chen Lyu
    [J]. Medical & Biological Engineering & Computing, 2019, 57 : 901 - 912
  • [8] A reliable method for colorectal cancer prediction based on feature selection and support vector machine
    Zhao, Dandan
    Liu, Hong
    Zheng, Yuanjie
    He, Yanlin
    Lu, Dianjie
    Lyu, Chen
    [J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2019, 57 (04) : 901 - 912
  • [9] Survival Prediction and Feature Selection in Patients with Breast Cancer Using Support Vector Regression
    Goli, Shahrbanoo
    Mahjub, Hossein
    Faradmal, Javad
    Mashayekhi, Hoda
    Soltanian, Ali-Reza
    [J]. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2016, 2016
  • [10] Feature Selection for Cancer Classification Based on Support Vector Machine
    Luo, Wei
    Wang, Lipo
    Sun, Jingjing
    [J]. PROCEEDINGS OF THE 2009 WRI GLOBAL CONGRESS ON INTELLIGENT SYSTEMS, VOL IV, 2009, : 422 - +