Set Covering 기반의 대용량 오믹스데이터 특징변수 추출기법

논문상세정보
' Set Covering 기반의 대용량 오믹스데이터 특징변수 추출기법' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 경영관리
  • bioinformatics
  • feature selection
  • omicsdata
  • set covering problem
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
9,421 0

0.0%

' Set Covering 기반의 대용량 오믹스데이터 특징변수 추출기법' 의 참고문헌

  • ellipsoidFN : a tool for identifying a heterogeneous set of cancer biomarkers based on gene expressions
    Ren, X. Nucleic acids research 41 (4) : e53 ~ e53 [2013]
  • The location of emergency service facilities
    Toregas, C. Operations Research 19 (6) : 1363 ~ 1373 [1971]
  • The WEKA Data Mining Software: An Update
    Hall, M ACM SIGKDD explorations newsletter 11 (1) : 10 ~ 18 [2009]
  • SNP selection in genome-wide and candidate gene studies via penalized logistic regression
    Ayers, K. L. Genetic epidemiology 34 (8) : 879 ~ 891 [2010]
  • Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data
    Zhang, X. BMC bioinformatics 7 (1) : 197 ~ [2006]
  • Pattern-based feature selections in genomics and proteomics
    Alexe, G. Annals of Operations Research 148 : 189 ~ 201 [2006]
  • Ovarian cancer detection by logical analysis of proteomic data
    Alexe, G. Proteomics 4 : 766 ~ 783 [2004]
  • Minimum redundancy feature selection from microarray gene expression data
    Ding, C. Journal of bioinformatics and computational biology 3 (2) : 185 ~ 205 [2005]
  • Maximum number of genes for microarray feature selection
    Baralis, E. 30th Annual International IEEE EMBS Conference [2008]
  • MaskedPainter: Feature selection for microarray data analysis
    Apiletti, D. Intelligent Data Analysis : 717 ~ 737 [2012]
  • Machine learning classification procedure for selecting SNPs in genomic selection : application to early mortality in broilers
    Long, N Journal of animal breeding and genetics 124 (6) : 377 ~ 389 [2007]
  • Logical analysis of diffuse large B-cell lymphomas
    Alexe, G. Artificial Intelligence in Medicine 34 : 235 ~ 267 [2005]
  • Logic classification and feature selection for biomedical data
    Bertolazzi, P. Computers and Mathematics with Applications : 889 ~ 899 [2008]
  • Gene selection using support vector machines with non-convex penalty
    Zhang, H. H. Bioinformatics 22 (1) : 88 ~ 95 [2006]
  • Gene selection for sample classification based on gene expression data :study of sensitivity to choice of parameters of the ga/knn method
    Li, L. Bioinformatics 17 (12) : 1131 ~ 1142 [2001]
  • Gene selection for cancer classification using support vector machines
    Guyon I Machine learning 46 (1) : 389 ~ 422 [2002]
  • Gene selection and classification of microarray data using random forest
    Dʹiaz-Uriarte, R BMC bioinformatics 7 (1) : 3 ~ [2006]
  • Feature selection for DNA methylation based cancer classification
    Model, F. Bioinformatics 17 (1) : s157 ~ s164 [2001]
  • Breast cancer prognosis by combinatorial analysis of gene expression data
    Alexe, G. Breast Cancer Research 8 (4) : r41 ~ [2006]
  • An implementation of logical analysis of data
    Boros, E. Knowledge and Data Engineering, IEEE Transactions 12 (2) : 292 ~ 306 [2000]
  • An efficient and robust statistical modeling approach to discover differentially expressed genes using genomic expression profiles
    Thomas, J. G. Genome Research 11 (7) : 1227 ~ 1236 [2001]
  • A technique for the solution of massive set covering problems, with application to airline crew scheduling
    Rubin, J. Transportation Science 7 (1) : 34 ~ 48 [1973]
  • A review of feature selection techniques in bioinformatics
    Saeys, Y. bioinformatics 23 (19) : 2507 ~ 2517 [2007]
  • A parsimonious threshold-independent protein feature selection method through the area under receiver operating characteristic curve
    Wang, Z. Bioinformatics 23 (20) : 2788 ~ 2794 [2007]
  • A greedy heuristic for the setcovering problem
    Chvatal, V. Mathematics of operations research 4 (3) : 233 ~ 235 [1979]
  • A comparison of feature selection and classification methods in DNA methylation studies using the illumina infinium platform
    Zhuang, J. BMC bioinformatics 13 (1) : 59 ~ [2012]
  • A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns : 51 ~ 60
    Liu, H. [2002]