메뉴 건너뛰기




Volumn 4463 LNBI, Issue , 2007, Pages 237-247

Noise-based feature perturbation as a selection method for microarray data

Author keywords

Classification; Feature perturbation; Gene selection; Microarray gene expression data

Indexed keywords

FEATURE EXTRACTION; MICROARRAYS; ONCOLOGY; PERTURBATION TECHNIQUES;

EID: 34547397921     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72031-7_22     Document Type: Conference Paper
Times cited : (11)

References (8)
  • 1
    • 3042532685 scopus 로고    scopus 로고
    • Inza, I., Larranaga, P., Blanco, R., Cerrolaza, A.J.: Filter versus wrapper gene selection approaches in DNA microarray domains. Artifical Intelligence Medicine, 31 (2004) 91-103
    • Inza, I., Larranaga, P., Blanco, R., Cerrolaza, A.J.: Filter versus wrapper gene selection approaches in DNA microarray domains. Artifical Intelligence Medicine, 31 (2004) 91-103
  • 3
    • 0036161259 scopus 로고    scopus 로고
    • Gene Selection for Cancer Classification using Support Vector Machines
    • Guyon, I., Weston, J., Barnihill S., Vapnik, V.: Gene Selection for Cancer Classification using Support Vector Machines. Machine Learning, 46 (2002) 389-422
    • (2002) Machine Learning , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnihill, S.3    Vapnik, V.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.