Pattern Browsing and Query Adjustment for the Exploratory Analysis and Cooperative Visualisation of Microarray Time-Course Data

被引：0
|
作者：
Craig, Paul [1 ]
Cannon, Alan [1 ]
Kennedy, Jessie [1 ]
Kukla, Robert [1 ]
机构：
[1] Edinburgh Napier Univ, Ctr Informat & Software Syst, Edinburgh EH10 5DT, Midlothian, Scotland
来源：
COOPERATIVE DESIGN, VISUALIZATION, AND ENGINEERING | 2010年 / 6240卷
关键词：
Cooperative Visualisation; Combined Multiple Views; Bioinformatics; Microarray Data Analysis;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents work to support collaborative visualisation and data analysis in the microarray time-series explorer (MaTSE) software. We introduce a novel visualisation component called the 'pattern browser' which is used to support the annotation and adjustment of user queries. This includes an explanation of why this component is required and how it can be used with our online pattern repository by biologists collaborating in the analysis of a microarray time-course data set. To conclude we suggest which other types of collaborative visualisation would benefit from the introduction of a component with comparable functionality.
引用
收藏
页码：199 / 206
页数：8
相关论文
共 50 条
  • [31] Analysis of time-course drug response in rat cardiomyocytes cultured on a pattern of islands
    Okumura, Sho
    Hirano, Yu
    Maki, Yoshiyuki
    Komatsu, Yasuo
    ANALYST, 2018, 143 (17) : 4083 - 4089
  • [32] Time-course microarray transcriptome data of in vitro cultured testes and age-matched in vivo testes
    Abe, Takeru
    Nishimura, Hajime
    Sato, Takuya
    Suzuki, Harukazu
    Ogawa, Takehiko
    Suzuki, Takahiro
    DATA IN BRIEF, 2020, 33
  • [33] PRINCIPAL TREND ANALYSIS FOR TIME-COURSE DATA WITH APPLICATIONS IN GENOMIC MEDICINE
    Zhang, Yuping
    Davis, Ronald
    ANNALS OF APPLIED STATISTICS, 2013, 7 (04): : 2205 - 2228
  • [34] Screening and Clustering for Time-course Yeast Microarray Gene Expression Data using Gaussian Process Regression
    Kim, Jaehee
    Kim, Taehoun
    KOREAN JOURNAL OF APPLIED STATISTICS, 2013, 26 (03) : 389 - 399
  • [35] Time-Course Gene Set Analysis for Longitudinal Gene Expression Data
    Hejblum, Boris P.
    Skinner, Jason
    Thiebaut, Rodolphe
    PLOS COMPUTATIONAL BIOLOGY, 2015, 11 (06)
  • [36] IMPROVED ANALYSIS OF TIME-COURSE DATA IN FUNCTIONAL MR-IMAGING
    GASER, C
    VOLZ, H
    HAEGER, F
    RZANNY, R
    BLUEML, S
    KAISER, WA
    RADIOLOGY, 1995, 197 : 168 - 168
  • [37] Experimental analysis and modeling of single-cell time-course data
    Bijman, Eline Yafele
    Kaltenbach, Hans-Michael
    Stelling, Jorg
    CURRENT OPINION IN SYSTEMS BIOLOGY, 2021, 28
  • [38] Optimal classification for time-course gene expression data using functional data analysis
    Song, Joon Jin
    Deng, Weiguo
    Lee, Ho-Jin
    Kwon, Deukwoo
    COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2008, 32 (06) : 426 - 432
  • [39] Exploratory Data Analysis in SAP IQ Using Query-Time Sampling
    Meng, Xiao
    Aluc, Gunes
    2021 IEEE 37TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2021), 2021, : 2381 - 2386
  • [40] A novel time-course cDNA microarray analysis method identifies genes associated with the development of cisplatin resistance
    Martin A Whiteside
    Dung-Tsa Chen
    Renee A Desmond
    Sarki A Abdulkadir
    Gary L Johanning
    Oncogene, 2004, 23 : 744 - 752
12345