281 related articles for article (PubMed ID: 27754590)
1. Cluster stability in the analysis of mass cytometry data.
Melchiotti R; Gracio F; Kordasti S; Todd AK; de Rinaldis E
Cytometry A; 2017 Jan; 91(1):73-84. PubMed ID: 27754590
[TBL] [Abstract][Full Text] [Related]
2. Detecting clusters of different geometrical shapes in microarray gene expression data.
Kim DW; Lee KH; Lee D
Bioinformatics; 2005 May; 21(9):1927-34. PubMed ID: 15647300
[TBL] [Abstract][Full Text] [Related]
3. Clustering of gene expression data: performance and similarity analysis.
Yin L; Huang CH; Ni J
BMC Bioinformatics; 2006 Dec; 7 Suppl 4(Suppl 4):S19. PubMed ID: 17217511
[TBL] [Abstract][Full Text] [Related]
4. Comparison of clustering methods for high-dimensional single-cell flow and mass cytometry data.
Weber LM; Robinson MD
Cytometry A; 2016 Dec; 89(12):1084-1096. PubMed ID: 27992111
[TBL] [Abstract][Full Text] [Related]
5. Model order selection for bio-molecular data clustering.
Bertoni A; Valentini G
BMC Bioinformatics; 2007 May; 8 Suppl 2(Suppl 2):S7. PubMed ID: 17493256
[TBL] [Abstract][Full Text] [Related]
6. Evaluation of clustering algorithms for gene expression data.
Datta S; Datta S
BMC Bioinformatics; 2006 Dec; 7 Suppl 4(Suppl 4):S17. PubMed ID: 17217509
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Stability-based validation of clustering solutions.
Lange T; Roth V; Braun ML; Buhmann JM
Neural Comput; 2004 Jun; 16(6):1299-323. PubMed ID: 15130251
[TBL] [Abstract][Full Text] [Related]
9. Weighted rank aggregation of cluster validation measures: a Monte Carlo cross-entropy approach.
Pihur V; Datta S; Datta S
Bioinformatics; 2007 Jul; 23(13):1607-15. PubMed ID: 17483500
[TBL] [Abstract][Full Text] [Related]
10. Studies on the Clustering Algorithm for Analyzing Gene Expression Data with a Bidirectional Penalty.
Yang H; Liu X
J Comput Biol; 2017 Jul; 24(7):689-698. PubMed ID: 28489418
[TBL] [Abstract][Full Text] [Related]
11. DAFi: A directed recursive data filtering and clustering approach for improving and interpreting data clustering identification of cell populations from polychromatic flow cytometry data.
Lee AJ; Chang I; Burel JG; Lindestam Arlehamn CS; Mandava A; Weiskopf D; Peters B; Sette A; Scheuermann RH; Qian Y
Cytometry A; 2018 Jun; 93(6):597-610. PubMed ID: 29665244
[TBL] [Abstract][Full Text] [Related]
12. Metric for measuring the effectiveness of clustering of DNA microarray expression.
Loganantharaj R; Cheepala S; Clifford J
BMC Bioinformatics; 2006 Sep; 7 Suppl 2(Suppl 2):S5. PubMed ID: 17118148
[TBL] [Abstract][Full Text] [Related]
13. How does gene expression clustering work?
D'haeseleer P
Nat Biotechnol; 2005 Dec; 23(12):1499-501. PubMed ID: 16333293
[TBL] [Abstract][Full Text] [Related]
14. Randomized maps for assessing the reliability of patients clusters in DNA microarray data analyses.
Bertoni A; Valentini G
Artif Intell Med; 2006 Jun; 37(2):85-109. PubMed ID: 16720093
[TBL] [Abstract][Full Text] [Related]
15. A new algorithm for comparing and visualizing relationships between hierarchical and flat gene expression data clusterings.
Torrente A; Kapushesky M; Brazma A
Bioinformatics; 2005 Nov; 21(21):3993-9. PubMed ID: 16141251
[TBL] [Abstract][Full Text] [Related]
16. Clustering binary fingerprint vectors with missing values for DNA array data analysis.
Figueroa A; Borneman J; Jiang T
Proc IEEE Comput Soc Bioinform Conf; 2003; 2():38-47. PubMed ID: 16452777
[TBL] [Abstract][Full Text] [Related]
17. An adaptive meta-clustering approach: combining the information from different clustering results.
Zeng Y; Tang J; Garcia-Frias J; Gao GR
Proc IEEE Comput Soc Bioinform Conf; 2002; 1():276-87. PubMed ID: 15838144
[TBL] [Abstract][Full Text] [Related]
18. Cluster analysis of gene expression data based on self-splitting and merging competitive learning.
Wu S; Liew AW; Yan H; Yang M
IEEE Trans Inf Technol Biomed; 2004 Mar; 8(1):5-15. PubMed ID: 15055797
[TBL] [Abstract][Full Text] [Related]
19. Automatically generate two-dimensional gating hierarchy from clustered cytometry data.
Yang X; Qiu P
Cytometry A; 2018 Oct; 93(10):1039-1050. PubMed ID: 30176185
[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]
