TimeClust: a clustering tool for gene expression time series

被引：36
|
作者：
Magni, Paolo [1 ]
Ferrazzi, Fulvia [1 ]
Sacchi, Lucia [1 ]
Bellazzi, Riccardo [1 ]
机构：
[1] Univ Pavia, Dipartimento Informat & Sistemist, I-27100 Pavia, Italy
来源：
BIOINFORMATICS | 2008年 / 24卷 / 03期
关键词：
D O I：
10.1093/bioinformatics/btm605
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
TimeClust is a user-friendly software package to cluster genes according to their temporal expression profiles. It can be conveniently used to analyze data obtained from DNA microarray time-course experiments. It implements two original algorithms specifically designed for clustering short time series together with hierarchical clustering and self-organizing maps.
引用
收藏
页码：430 / 432
页数：3
相关论文
共 50 条
  • [41] Shape-Output Gene Clustering for Time Series Microarrays
    Chira, Camelia
    Sedano, Javier
    Villar, Jose R.
    Camara, Monica
    Prieto, Carlos
    10TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS, 2015, 368 : 241 - 250
  • [42] Gene clustering for time-series microarray with production outputs
    Chira, Camelia
    Sedano, Javier
    Villar, Jose R.
    Camara, Monica
    Prieto, Carlos
    SOFT COMPUTING, 2016, 20 (11) : 4301 - 4312
  • [43] Gene clustering for time-series microarray with production outputs
    Camelia Chira
    Javier Sedano
    José R. Villar
    Monica Camara
    Carlos Prieto
    Soft Computing, 2016, 20 : 4301 - 4312
  • [44] Analyzing time series gene expression data
    Bar-Joseph, Z
    BIOINFORMATICS, 2004, 20 (16) : 2493 - 2503
  • [45] Time-synchronized clustering of gene expression trajectories
    Tang, Rong
    Mueller, Hans-Georg
    BIOSTATISTICS, 2009, 10 (01) : 32 - 45
  • [46] Gene Selection in Time-Series Gene Expression Data
    Adhikari, Prem Raj
    Upadhyaya, Bimal Babu
    Meng, Chen
    Hollmen, Jaakko
    PATTERN RECOGNITION IN BIOINFORMATICS, 2011, 7036 : 145 - +
  • [47] Aligning gene expression time series with time warping algorithms
    Aach, J
    Church, GM
    BIOINFORMATICS, 2001, 17 (06) : 495 - 508
  • [48] A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data
    Anand, Ashish
    Suganthan, P. N.
    Deb, Kalyanmoy
    2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS, 2007, : 297 - +
  • [49] Time Series Gene Expression Data Clustering and Pattern Extraction in Arabidopsis thaliana Phosphatase-encoding Genes
    Bidari, Pooya Sobhe
    Manshaei, Roozbeh
    Lohrasebi, Tahmineh
    Feizi, Amir
    Malboobi, Mohammad Ali
    Alirezaie, Javad
    8TH IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING, VOLS 1 AND 2, 2008, : 206 - +
  • [50] Quantile autocovariances: A powerful tool for hard and soft partitional clustering of time series
    Vilar, Jose A.
    Lafuente-Rego, Borja
    D'Urso, Pierpaolo
    FUZZY SETS AND SYSTEMS, 2018, 340 : 38 - 72
12345