메뉴 건너뛰기




Volumn 94, Issue 5, 2009, Pages 317-323

Identification of significant regional genetic variations using continuous CNV values in aCGH data

Author keywords

Array CGH; Chromosomal region; Genomic variations; Shifted ANOVA; Systematic aberrations

Indexed keywords

ACCURACY; ANALYSIS OF VARIANCE; ARTICLE; CHROMOSOME ABERRATION; COMPARATIVE GENOMIC HYBRIDIZATION; CONTROLLED STUDY; FEMALE; GENE EXPRESSION; GENE IDENTIFICATION; GENE NUMBER; GENETIC MODEL; GENETIC VARIABILITY; HUMAN; HUMAN CELL; MALE; MICROARRAY ANALYSIS; MOLECULAR PROBE; PRIORITY JOURNAL;

EID: 70349820079     PISSN: 08887543     EISSN: 10898646     Source Type: Journal    
DOI: 10.1016/j.ygeno.2009.08.006     Document Type: Article
Times cited : (3)

References (17)
  • 1
    • 0031968724 scopus 로고    scopus 로고
    • The role of epigenetics in cancer. DNA methylation, imprinting and the epigenetics of cancer-an American Association for Cancer Research Special Conference. Las Croabas, Puerto Rico, 12-16 1997 December
    • Lengauer C., and Issa J.P. The role of epigenetics in cancer. DNA methylation, imprinting and the epigenetics of cancer-an American Association for Cancer Research Special Conference. Las Croabas, Puerto Rico, 12-16 1997 December. Mol. Med. Today 4 (1998) 102-103
    • (1998) Mol. Med. Today , vol.4 , pp. 102-103
    • Lengauer, C.1    Issa, J.P.2
  • 3
    • 12344259648 scopus 로고    scopus 로고
    • Analysis of array CGH data: from signal ratio to gain and loss of DNA regions
    • Hupe P., Stransky N., Thiery J.P., Radvanyi F., and Barillot E. Analysis of array CGH data: from signal ratio to gain and loss of DNA regions. Bioinformatics 20 (2004) 3413-3422
    • (2004) Bioinformatics , vol.20 , pp. 3413-3422
    • Hupe, P.1    Stransky, N.2    Thiery, J.P.3    Radvanyi, F.4    Barillot, E.5
  • 4
    • 34548800295 scopus 로고    scopus 로고
    • Analysis of array CGH data for cancer studies using fused quantile regression
    • Li Y., and Zhu J. Analysis of array CGH data for cancer studies using fused quantile regression. Bioinformatics 23 (2007) 2470-2476
    • (2007) Bioinformatics , vol.23 , pp. 2470-2476
    • Li, Y.1    Zhu, J.2
  • 5
    • 41349085816 scopus 로고    scopus 로고
    • CGHweb: a tool for comparing DNA copy number segmentations from multiple algorithms
    • Lai W., Choudhary V., and Park P.J. CGHweb: a tool for comparing DNA copy number segmentations from multiple algorithms. Bioinformatics 24 (2008) 1014-1045
    • (2008) Bioinformatics , vol.24 , pp. 1014-1045
    • Lai, W.1    Choudhary, V.2    Park, P.J.3
  • 6
    • 49549085311 scopus 로고    scopus 로고
    • A fast and flexible method for the segmentation of aCGH data
    • Ben-Yaacov E., and Eldar Y.C. A fast and flexible method for the segmentation of aCGH data. Bioinformatics 24 (2008) i139-i145
    • (2008) Bioinformatics , vol.24
    • Ben-Yaacov, E.1    Eldar, Y.C.2
  • 7
    • 16344367718 scopus 로고    scopus 로고
    • Quantile smoothing of array CGH data
    • Eilers P.H., and de Menezes R.X. Quantile smoothing of array CGH data. Bioinformatics 21 (2005) 1146-1153
    • (2005) Bioinformatics , vol.21 , pp. 1146-1153
    • Eilers, P.H.1    de Menezes, R.X.2
  • 10
    • 46249117458 scopus 로고    scopus 로고
    • Classification and feature selection algorithms for multi-class CGH data
    • Liu J., Ranka S., and Kahveci T. Classification and feature selection algorithms for multi-class CGH data. Bioinformatics 24 (2008) i86-i95
    • (2008) Bioinformatics , vol.24
    • Liu, J.1    Ranka, S.2    Kahveci, T.3
  • 12
    • 34147104969 scopus 로고    scopus 로고
    • A faster circular binary segmentation algorithm for the analysis of array CGH data
    • Venkatraman E.S., and Olshen A.B. A faster circular binary segmentation algorithm for the analysis of array CGH data. Bioinformatics 23 (2007) 657-663
    • (2007) Bioinformatics , vol.23 , pp. 657-663
    • Venkatraman, E.S.1    Olshen, A.B.2
  • 14
    • 39149107114 scopus 로고    scopus 로고
    • Identification of cancer genes using a statistical framework for multiexperiment analysis of nondiscretized array CGH data
    • Klijn C., Holstege H., de Ridder J., Liu X., Reinders M., Jonkers J., and Wessels L. Identification of cancer genes using a statistical framework for multiexperiment analysis of nondiscretized array CGH data. Nucleic Acids Res. 36 (2008) e13
    • (2008) Nucleic Acids Res. , vol.36
    • Klijn, C.1    Holstege, H.2    de Ridder, J.3    Liu, X.4    Reinders, M.5    Jonkers, J.6    Wessels, L.7
  • 15
    • 34249681894 scopus 로고    scopus 로고
    • Continuous-index hidden Markov modelling of array CGH copy number data
    • Stjernqvist S., Ryden T., Skold M., and Staaf J. Continuous-index hidden Markov modelling of array CGH copy number data. Bioinformatics 23 (2007) 1006-1014
    • (2007) Bioinformatics , vol.23 , pp. 1006-1014
    • Stjernqvist, S.1    Ryden, T.2    Skold, M.3    Staaf, J.4
  • 16
    • 0242302280 scopus 로고    scopus 로고
    • Using ANOVA for gene selection from microarray studies of the nervous system
    • Pavlidis P. Using ANOVA for gene selection from microarray studies of the nervous system. Methods 31 (2003) 282-289
    • (2003) Methods , vol.31 , pp. 282-289
    • Pavlidis, P.1
  • 17
    • 49549100274 scopus 로고    scopus 로고
    • A probe-density-based analysis method for array CGH data: simulation, normalization and centralization
    • Chen H.I., Hsu F.H., Jiang Y., Tsai M.H., Yang P.C., Meltzer P.S., Chuang E.Y., and Chen Y. A probe-density-based analysis method for array CGH data: simulation, normalization and centralization. Bioinformatics 24 (2008) 1749-1756
    • (2008) Bioinformatics , vol.24 , pp. 1749-1756
    • Chen, H.I.1    Hsu, F.H.2    Jiang, Y.3    Tsai, M.H.4    Yang, P.C.5    Meltzer, P.S.6    Chuang, E.Y.7    Chen, Y.8


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.