메뉴 건너뛰기




Volumn 30, Issue 6, 2014, Pages 896-898

PyGCluster, a novel hierarchical clustering approach

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; DNA MICROARRAY; HUMAN; METHODOLOGY; NUCLEOTIDE SEQUENCE; REPRODUCIBILITY;

EID: 84897884164     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btt626     Document Type: Article
Times cited : (18)

References (7)
  • 1
    • 40049097228 scopus 로고    scopus 로고
    • Using repeated measurements to validate hierarchical gene clusters
    • Brehelin, L. et al. (2008) Using repeated measurements to validate hierarchical gene clusters. Bioinformatics, 24, 682-688.
    • (2008) Bioinformatics , vol.24 , pp. 682-688
    • Brehelin, L.1
  • 2
    • 0034274870 scopus 로고    scopus 로고
    • An open graph visualization system and its applications to software engineering
    • Gansner, E.R. and North, S.C. (2000) An open graph visualization system and its applications to software engineering. Softw. Pract. Exp., 30, 1203-1233.
    • (2000) Softw. Pract. Exp. , vol.30 , pp. 1203-1233
    • Gansner, E.R.1    North, S.C.2
  • 3
    • 25144456056 scopus 로고    scopus 로고
    • Computational cluster validation in post-genomic data analysis
    • Handl, J. et al. (2005) Computational cluster validation in post-genomic data analysis. Bioinformatics, 21, 3201-3212.
    • (2005) Bioinformatics , vol.21 , pp. 3201-3212
    • Handl, J.1
  • 4
    • 84885107729 scopus 로고    scopus 로고
    • The metabolic status drives acclimation of iron deficiency responses in Chlamydomonas reinhardtii as revealed by proteomics based hierarchical clustering and reverse genetics
    • Hohner, R. et al. (2013) The metabolic status drives acclimation of iron deficiency responses in Chlamydomonas reinhardtii as revealed by proteomics based hierarchical clustering and reverse genetics. Mol. Cell. Proteomics, 12, 2774-2790.
    • (2013) Mol. Cell. Proteomics , vol.12 , pp. 2774-2790
    • Hohner, R.1
  • 5
    • 84878460994 scopus 로고    scopus 로고
    • Fastcluster: Fast hierarchical agglomerative clustering routines for R and Python
    • Mullner, D. (2013) fastcluster: fast hierarchical agglomerative clustering routines for R and Python. J. Stat. Softw., 53, 1-18.
    • (2013) J. Stat. Softw. , vol.53 , pp. 1-18
    • Mullner, D.1
  • 6
    • 0037311919 scopus 로고    scopus 로고
    • TM4: A free, open-source system for microarray data management and analysis
    • Saeed, A.I. et al. (2003) TM4: a free, open-source system for microarray data management and analysis. Biotechniques, 34, 374-378.
    • (2003) Biotechniques , vol.34 , pp. 374-378
    • Saeed, A.I.1
  • 7
    • 84897868809 scopus 로고    scopus 로고
    • Model-based clustering for RNA-seq data
    • Si, J. et al. (2011) Model-based clustering for RNA-seq data. In: Joint Statistical Meeting. FL.
    • (2011) Joint Statistical Meeting. FL
    • Si, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.