CAFE: an R package for the detection of gross chromosomal abnormalities from gene expression microarray data

被引:4
|
作者
Bollen, Sander [1 ,2 ]
Leddin, Mathias [3 ]
Andrade-Navarro, Miguel A. [1 ]
Mah, Nancy [1 ]
机构
[1] Max Delbruck Ctr Mol Med, Computat Biol & Data Min Grp, D-13125 Berlin, Germany
[2] Univ Utrecht, Grad Sch Life Sci, NL-3584 CG Utrecht, Netherlands
[3] Roche Diagnost GmbH, D-82377 Penzberg, Germany
关键词
STEM-CELLS;
D O I
10.1093/bioinformatics/btu028
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The current methods available to detect chromosomal abnormalities from DNA microarray expression data are cumbersome and inflexible. CAFE has been developed to alleviate these issues. It is implemented as an R package that analyzes Affymetrix*. CEL files and comes with flexible plotting functions, easing visualization of chromosomal abnormalities.
引用
收藏
页码:1484 / 1485
页数:2
相关论文
共 50 条
  • [31] Diagnostic accuracy and value of chromosomal microarray analysis for chromosomal abnormalities in prenatal detection A prospective clinical study
    Huang, Hailong
    Wang, Yan
    Zhang, Min
    Lin, Na
    An, Gang
    He, Deqin
    Chen, Meihuan
    Chen, Lingji
    Xu, Liangpu
    MEDICINE, 2021, 100 (20) : E25999
  • [32] MADE4:: an R package for multivariate analysis of gene expression data
    Culhane, AC
    Thioulouse, J
    Perrière, G
    Higgins, DG
    BIOINFORMATICS, 2005, 21 (11) : 2789 - 2790
  • [33] NormExpression: An R Package to Normalize Gene Expression Data Using Evaluated Methods
    Wu, Zhenfeng
    Liu, Weixiang
    Jin, Xiufeng
    Ji, Haishuo
    Wang, Hua
    Glusman, Gustavo
    Robinson, Max
    Liu, Lin
    Ruan, Jishou
    Gao, Shan
    FRONTIERS IN GENETICS, 2019, 10
  • [34] Data mining for gene expression profiles from DNA, microarray
    Cho, SB
    Won, HH
    INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, 2003, 13 (06) : 593 - 608
  • [35] Kernel hierarchical gene clustering from microarray expression data
    Qin, J
    Lewis, DP
    Noble, WS
    BIOINFORMATICS, 2003, 19 (16) : 2097 - 2104
  • [36] Clustering gene expression signals from retinal microarray data
    Fleury, G
    Hero, A
    Yoshida, S
    Carter, T
    Barlow, C
    Swaroop, A
    2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS, 2002, : 4024 - 4027
  • [37] Mixture modelling of gene expression data from microarray experiments
    Ghosh, D
    Chinnaiyan, AM
    BIOINFORMATICS, 2002, 18 (02) : 275 - 286
  • [38] Detection of submicroscopic chromosomal aberrations by chromosomal microarray analysis for the prenatal diagnosis of central nervous system abnormalities
    Song, Tingting
    Xu, Ying
    Li, Yu
    Jia, Li
    Zheng, Jiao
    Dang, Yinghui
    Wan, Shanning
    Zheng, Yunyun
    Zhang, Jianfang
    Yang, Hong
    JOURNAL OF CLINICAL LABORATORY ANALYSIS, 2020, 34 (10)
  • [39] Are data from different gene expression microarray platforms comparable?
    Järvinen, AK
    Hautaniemi, S
    Edgren, H
    Auvinen, P
    Saarela, J
    Kallioniemi, OP
    Monni, O
    GENOMICS, 2004, 83 (06) : 1164 - 1168
  • [40] Microarray Gene Expression Analysis using R
    Petre, I.
    Buiu, C.
    INTERNATIONAL CONFERENCE ON ADVANCEMENTS OF MEDICINE AND HEALTH CARE THROUGH TECHNOLOGY, MEDITECH 2016, 2017, 59 : 358 - 361