165 related articles for article (PubMed ID: 17044182)
1. Analyzing gene expression time-courses.
Schliep A; Costa IG; Steinhoff C; Schönhuth A
IEEE/ACM Trans Comput Biol Bioinform; 2005; 2(3):179-93. PubMed ID: 17044182
[TBL] [Abstract][Full Text] [Related]
2. Robust inference of groups in gene expression time-courses using mixtures of HMMs.
Schliep A; Steinhoff C; Schönhuth A
Bioinformatics; 2004 Aug; 20 Suppl 1():i283-9. PubMed ID: 15262810
[TBL] [Abstract][Full Text] [Related]
3. A mixture model with random-effects components for clustering correlated gene-expression profiles.
Ng SK; McLachlan GJ; Wang K; Ben-Tovim Jones L; Ng SW
Bioinformatics; 2006 Jul; 22(14):1745-52. PubMed ID: 16675467
[TBL] [Abstract][Full Text] [Related]
4. Combining sequence and time series expression data to learn transcriptional modules.
Kundaje A; Middendorf M; Gao F; Wiggins C; Leslie C
IEEE/ACM Trans Comput Biol Bioinform; 2005; 2(3):194-202. PubMed ID: 17044183
[TBL] [Abstract][Full Text] [Related]
5. A fully Bayesian model to cluster gene-expression profiles.
Vogl C; Sanchez-Cabo F; Stocker G; Hubbard S; Wolkenhauer O; Trajanoski Z
Bioinformatics; 2005 Sep; 21 Suppl 2():ii130-6. PubMed ID: 16204092
[TBL] [Abstract][Full Text] [Related]
6. Clustering of change patterns using Fourier coefficients.
Kim J; Kim H
Bioinformatics; 2008 Jan; 24(2):184-91. PubMed ID: 18025003
[TBL] [Abstract][Full Text] [Related]
7. Continuous hidden process model for time series expression experiments.
Shi Y; Klustein M; Simon I; Mitchell T; Bar-Joseph Z
Bioinformatics; 2007 Jul; 23(13):i459-67. PubMed ID: 17646331
[TBL] [Abstract][Full Text] [Related]
8. An improved algorithm for clustering gene expression data.
Bandyopadhyay S; Mukhopadhyay A; Maulik U
Bioinformatics; 2007 Nov; 23(21):2859-65. PubMed ID: 17720981
[TBL] [Abstract][Full Text] [Related]
9. TimeClust: a clustering tool for gene expression time series.
Magni P; Ferrazzi F; Sacchi L; Bellazzi R
Bioinformatics; 2008 Feb; 24(3):430-2. PubMed ID: 18065427
[TBL] [Abstract][Full Text] [Related]
10. OrderedList--a bioconductor package for detecting similarity in ordered gene lists.
Lottaz C; Yang X; Scheid S; Spang R
Bioinformatics; 2006 Sep; 22(18):2315-6. PubMed ID: 16844712
[TBL] [Abstract][Full Text] [Related]
11. Using hidden Markov models to analyze gene expression time course data.
Schliep A; Schönhuth A; Steinhoff C
Bioinformatics; 2003; 19 Suppl 1():i255-63. PubMed ID: 12855468
[TBL] [Abstract][Full Text] [Related]
12. A powerful approach for effective finding of significantly differentially expressed genes.
Abul O; Alhajj R; Polat F
IEEE/ACM Trans Comput Biol Bioinform; 2006; 3(3):220-31. PubMed ID: 17048460
[TBL] [Abstract][Full Text] [Related]
13. Modeling and visualizing uncertainty in gene expression clusters using dirichlet process mixtures.
Rasmussen CE; de la Cruz BJ; Ghahramani Z; Wild DL
IEEE/ACM Trans Comput Biol Bioinform; 2009; 6(4):615-28. PubMed ID: 19875860
[TBL] [Abstract][Full Text] [Related]
14. Dynamic range-based distance measure for microarray expressions and a fast gene-ordering algorithm.
Ray SS; Bandyopadhyay S; Pal SK
IEEE Trans Syst Man Cybern B Cybern; 2007 Jun; 37(3):742-9. PubMed ID: 17550128
[TBL] [Abstract][Full Text] [Related]
15. Context-specific infinite mixtures for clustering gene expression profiles across diverse microarray dataset.
Liu X; Sivaganesan S; Yeung KY; Guo J; Bumgarner RE; Medvedovic M
Bioinformatics; 2006 Jul; 22(14):1737-44. PubMed ID: 16709591
[TBL] [Abstract][Full Text] [Related]
16. Application of simulated annealing to the biclustering of gene expression data.
Bryan K; Cunningham P; Bolshakova N
IEEE Trans Inf Technol Biomed; 2006 Jul; 10(3):519-25. PubMed ID: 16871720
[TBL] [Abstract][Full Text] [Related]
17. Variable selection for model-based high-dimensional clustering and its application to microarray data.
Wang S; Zhu J
Biometrics; 2008 Jun; 64(2):440-8. PubMed ID: 17970821
[TBL] [Abstract][Full Text] [Related]
18. A hidden Markov model-based approach for identifying timing differences in gene expression under different experimental factors.
Yoneya T; Mamitsuka H
Bioinformatics; 2007 Apr; 23(7):842-9. PubMed ID: 17237042
[TBL] [Abstract][Full Text] [Related]
19. Bayesian finite Markov mixture model for temporal multi-tissue polygenic patterns.
Liang Y; Kelemen A
Biom J; 2009 Feb; 51(1):56-69. PubMed ID: 19197952
[TBL] [Abstract][Full Text] [Related]
20. A variational Bayesian mixture modelling framework for cluster analysis of gene-expression data.
Teschendorff AE; Wang Y; Barbosa-Morais NL; Brenton JD; Caldas C
Bioinformatics; 2005 Jul; 21(13):3025-33. PubMed ID: 15860564
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
