246 related articles for article (PubMed ID: 28541221)
21. A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression.
Liu Y; Gu Q; Hou JP; Han J; Ma J
BMC Bioinformatics; 2014 Feb; 15():37. PubMed ID: 24491042
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Identifying subspace gene clusters from microarray data using low-rank representation.
Cui Y; Zheng CH; Yang J
PLoS One; 2013; 8(3):e59377. PubMed ID: 23527177
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. A consensus multi-view multi-objective gene selection approach for improved sample classification.
Acharya S; Cui L; Pan Y
BMC Bioinformatics; 2020 Sep; 21(Suppl 13):386. PubMed ID: 32938388
[TBL] [Abstract][Full Text] [Related]
26. From co-expression to co-regulation: how many microarray experiments do we need?
Yeung KY; Medvedovic M; Bumgarner RE
Genome Biol; 2004; 5(7):R48. PubMed ID: 15239833
[TBL] [Abstract][Full Text] [Related]
27. A systematic comparison of genome-scale clustering algorithms.
Jay JJ; Eblen JD; Zhang Y; Benson M; Perkins AD; Saxton AM; Voy BH; Chesler EJ; Langston MA
BMC Bioinformatics; 2012 Jun; 13 Suppl 10(Suppl 10):S7. PubMed ID: 22759431
[TBL] [Abstract][Full Text] [Related]
28. Clustering and re-clustering for pattern discovery in gene expression data.
Ma PC; Chan KC; Chiu DK
J Bioinform Comput Biol; 2005 Apr; 3(2):281-301. PubMed ID: 15852506
[TBL] [Abstract][Full Text] [Related]
29. Gene microarray data analysis using parallel point-symmetry-based clustering.
Sarkar A; Maulik U
Int J Data Min Bioinform; 2015; 11(3):277-300. PubMed ID: 26333263
[TBL] [Abstract][Full Text] [Related]
30. K-Module Algorithm: An Additional Step to Improve the Clustering Results of WGCNA Co-Expression Networks.
Hou J; Ye X; Li C; Wang Y
Genes (Basel); 2021 Jan; 12(1):. PubMed ID: 33445666
[TBL] [Abstract][Full Text] [Related]
31. SC(3): Triple spectral clustering-based consensus clustering framework for class discovery from cancer gene expression profiles.
Zhiwen Y; Le L; Jane Y; Hau-San W; Guoqiang H
IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(6):1751-65. PubMed ID: 22868680
[TBL] [Abstract][Full Text] [Related]
32. Cancer molecular pattern discovery by subspace consensus kernel classification.
Han X
Comput Syst Bioinformatics Conf; 2007; 6():55-65. PubMed ID: 17951812
[TBL] [Abstract][Full Text] [Related]
33. Clustering microarray gene expression data using weighted Chinese restaurant process.
Qin ZS
Bioinformatics; 2006 Aug; 22(16):1988-97. PubMed ID: 16766561
[TBL] [Abstract][Full Text] [Related]
34. Robust auto-weighted multi-view subspace clustering with common subspace representation matrix.
Zhuge W; Hou C; Jiao Y; Yue J; Tao H; Yi D
PLoS One; 2017; 12(5):e0176769. PubMed ID: 28542234
[TBL] [Abstract][Full Text] [Related]
35. Robust multi-scale clustering of large DNA microarray datasets with the consensus algorithm.
Grotkjaer T; Winther O; Regenberg B; Nielsen J; Hansen LK
Bioinformatics; 2006 Jan; 22(1):58-67. PubMed ID: 16257984
[TBL] [Abstract][Full Text] [Related]
36. Penalized and weighted K-means for clustering with scattered objects and prior information in high-throughput biological data.
Tseng GC
Bioinformatics; 2007 Sep; 23(17):2247-55. PubMed ID: 17597097
[TBL] [Abstract][Full Text] [Related]
37. Dynamically weighted clustering with noise set.
Shen Y; Sun W; Li KC
Bioinformatics; 2010 Feb; 26(3):341-7. PubMed ID: 20007256
[TBL] [Abstract][Full Text] [Related]
38. Concepts of relative sample outlier (RSO) and weighted sample similarity (WSS) for improving performance of clustering genes: co-function and co-regulation.
Bhattacharya A; Chowdhury N; De RK
Int J Data Min Bioinform; 2015; 11(3):314-30. PubMed ID: 26333265
[TBL] [Abstract][Full Text] [Related]
39. Iterative class discovery and feature selection using Minimal Spanning Trees.
Varma S; Simon R
BMC Bioinformatics; 2004 Sep; 5():126. PubMed ID: 15355552
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]