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Volumn 15, Issue 1, 2014, Pages

Non-specific filtering of beta-distributed data

Author keywords

[No Author keywords available]

Indexed keywords

ALKYLATION; CLUSTER ANALYSIS; DISEASES; DNA; METHYLATION; STATISTICS; TISSUE;

EID: 84928376648     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-15-199     Document Type: Article
Times cited : (14)

References (19)
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    • (2010) Proc Natl Acad Sci U S A , vol.107 , Issue.21 , pp. 9546-9551
    • Bourgon, R.1    Gentleman, R.2    Huber, W.3
  • 2
    • 35748932917 scopus 로고    scopus 로고
    • A review of feature selection techniques in bioinformatics
    • Saeys Y, Inza I, Larranaga P: A review of feature selection techniques in bioinformatics. Bioinformatics 2007,23(19):2507-2517.
    • (2007) Bioinformatics , vol.23 , Issue.19 , pp. 2507-2517
    • Saeys, Y.1    Inza, I.2    Larranaga, P.3
  • 4
    • 70349730070 scopus 로고    scopus 로고
    • MULTI-K: accurate classification of microarray subtypes using ensemble k-means
    • Kim EY, Kim SY, Ashlock D, Nam D: MULTI-K: accurate classification of microarray subtypes using ensemble k-means. BMC Bioinformatics 2009, 10:260.
    • (2009) BMC Bioinformatics , vol.10 , pp. 260
    • Kim, E.Y.1    Kim, S.Y.2    Ashlock, D.3    Nam, D.4
  • 8
    • 84864359044 scopus 로고    scopus 로고
    • Differential DNA methylation in purified human blood cells: implications for cell lineage and studies on disease susceptibility
    • Reinius LE, Acevedo N, Joerink M, Pershagen G, Dahlen SE, Greco D, Soderhall C, Scheynius A, Kere J: Differential DNA methylation in purified human blood cells: implications for cell lineage and studies on disease susceptibility. PloS one 2012,7(7):e41361.
    • (2012) PloS one , vol.7 , Issue.7 , pp. e41361
    • Reinius, L.E.1    Acevedo, N.2    Joerink, M.3    Pershagen, G.4    Dahlen, S.E.5    Greco, D.6    Soderhall, C.7    Scheynius, A.8    Kere, J.9
  • 11
    • 78649475003 scopus 로고    scopus 로고
    • Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis
    • Du P, Zhang X, Huang CC, Jafari N, Kibbe WA, Hou L, Lin SM: Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis. BMC Bioinformatics 2010, 11:587.
    • (2010) BMC Bioinformatics , vol.11 , pp. 587
    • Du, P.1    Zhang, X.2    Huang, C.C.3    Jafari, N.4    Kibbe, W.A.5    Hou, L.6    Lin, S.M.7
  • 12
    • 1542722922 scopus 로고
    • On the beta transformation family
    • Rocke DM: On the beta transformation family. Technometrics 1993, 35:72-81.
    • (1993) Technometrics , vol.35 , pp. 72-81
    • Rocke, D.M.1
  • 14
    • 0002643986 scopus 로고
    • The dip test of unimodality
    • Hartigan J, Hartigan P: The dip test of unimodality. Ann Stat 1985, 13:70-84.
    • (1985) Ann Stat , vol.13 , pp. 70-84
    • Hartigan, J.1    Hartigan, P.2
  • 18
    • 84872564830 scopus 로고    scopus 로고
    • A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data
    • Teschendorff AE, Marabita F, Lechner M, Bartlett T, Tegner J, Gomez-Cabrero D, Beck S: A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data. Bioinformatics 2013,29(2):189-196.
    • (2013) Bioinformatics , vol.29 , Issue.2 , pp. 189-196
    • Teschendorff, A.E.1    Marabita, F.2    Lechner, M.3    Bartlett, T.4    Tegner, J.5    Gomez-Cabrero, D.6    Beck, S.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.