199 related articles for article (PubMed ID: 23276708)
21. Hybrid genetic algorithm-neural network: feature extraction for unpreprocessed microarray data.
Tong DL; Schierz AC
Artif Intell Med; 2011 Sep; 53(1):47-56. PubMed ID: 21775110
[TBL] [Abstract][Full Text] [Related]
22. Biclustering of time series microarray data.
Meng J; Huang Y
Methods Mol Biol; 2012; 802():87-100. PubMed ID: 22130875
[TBL] [Abstract][Full Text] [Related]
23. Biclustering sparse binary genomic data.
van Uitert M; Meuleman W; Wessels L
J Comput Biol; 2008 Dec; 15(10):1329-45. PubMed ID: 19040367
[TBL] [Abstract][Full Text] [Related]
24. Pattern-driven neighborhood search for biclustering of microarray data.
Ayadi W; Elloumi M; Hao JK
BMC Bioinformatics; 2012 May; 13 Suppl 7(Suppl 7):S11. PubMed ID: 22594997
[TBL] [Abstract][Full Text] [Related]
25. An evaluation study of biclusters visualization techniques of gene expression data.
Aouabed H; Elloumi M; SantamarĂa R
J Integr Bioinform; 2021 Oct; 18(4):. PubMed ID: 34699698
[No Abstract] [Full Text] [Related]
26. A joint framework for missing values estimation and biclusters detection in gene expression data.
Cheng KO; Law NF; Chan YL; Siu WC
Int J Bioinform Res Appl; 2014; 10(6):574-86. PubMed ID: 25335564
[TBL] [Abstract][Full Text] [Related]
27. A new method of finding groups of coexpressed genes and conditions of coexpression.
Anand R; Ravichandran S; Chatterjee S
BMC Bioinformatics; 2016 Nov; 17(1):486. PubMed ID: 27887568
[TBL] [Abstract][Full Text] [Related]
28. Discovering biclusters in gene expression data based on high-dimensional linear geometries.
Gan X; Liew AW; Yan H
BMC Bioinformatics; 2008 Apr; 9():209. PubMed ID: 18433477
[TBL] [Abstract][Full Text] [Related]
29. Identification of bicluster regions in a binary matrix and its applications.
Chen HC; Zou W; Tien YJ; Chen JJ
PLoS One; 2013; 8(8):e71680. PubMed ID: 23940779
[TBL] [Abstract][Full Text] [Related]
30. SiBIC: A Tool for Generating a Network of Biclusters Captured by Maximal Frequent Itemset Mining.
Takahashi KI; duVerle DA; Yotsukura S; Takigawa I; Mamitsuka H
Methods Mol Biol; 2018; 1807():95-111. PubMed ID: 30030806
[TBL] [Abstract][Full Text] [Related]
31. Mining patterns in disease classification forests.
Hu H
J Biomed Inform; 2010 Oct; 43(5):820-7. PubMed ID: 20601123
[TBL] [Abstract][Full Text] [Related]
32. Biclustering algorithms for biological data analysis: a survey.
Madeira SC; Oliveira AL
IEEE/ACM Trans Comput Biol Bioinform; 2004; 1(1):24-45. PubMed ID: 17048406
[TBL] [Abstract][Full Text] [Related]
33. WF-MSB: a weighted fuzzy-based biclustering method for gene expression data.
Chen LC; Yu PS; Tseng VS
Int J Data Min Bioinform; 2011; 5(1):89-109. PubMed ID: 21491846
[TBL] [Abstract][Full Text] [Related]
34. Frequent patterns mining in multiple biological sequences.
Chen L; Liu W
Comput Biol Med; 2013 Oct; 43(10):1444-52. PubMed ID: 24034736
[TBL] [Abstract][Full Text] [Related]
35. Randomized probe selection algorithm for microarray design.
Gasieniec L; Li CY; Sant P; Wong PW
J Theor Biol; 2007 Oct; 248(3):512-21. PubMed ID: 17628606
[TBL] [Abstract][Full Text] [Related]
36. Robust biclustering by sparse singular value decomposition incorporating stability selection.
Sill M; Kaiser S; Benner A; Kopp-Schneider A
Bioinformatics; 2011 Aug; 27(15):2089-97. PubMed ID: 21636597
[TBL] [Abstract][Full Text] [Related]
37. Mining coherent dense subgraphs across massive biological networks for functional discovery.
Hu H; Yan X; Huang Y; Han J; Zhou XJ
Bioinformatics; 2005 Jun; 21 Suppl 1():i213-21. PubMed ID: 15961460
[TBL] [Abstract][Full Text] [Related]
38. A biclustering algorithm for extracting bit-patterns from binary datasets.
Rodriguez-Baena DS; Perez-Pulido AJ; Aguilar-Ruiz JS
Bioinformatics; 2011 Oct; 27(19):2738-45. PubMed ID: 21824973
[TBL] [Abstract][Full Text] [Related]
39. Gene expression data analysis using multiobjective clustering improved with SVM based ensemble.
Mukhopadhyay A; Maulik U; Bandyopadhyay S
In Silico Biol; 2011-2012; 11(1-2):19-27. PubMed ID: 22475749
[TBL] [Abstract][Full Text] [Related]
40. Expectation Maximization of Frequent Patterns, a Specific, Local, Pattern-Based Biclustering Algorithm for Biological Datasets.
Moore EJ; Bourlai T
IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(5):812-824. PubMed ID: 26701897
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]