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Items: 1 to 20 of 76

1.

Integrated simultaneous analysis of different biomedical data types with exact weighted bi-cluster editing.

Sun P, Guo J, Baumbach J.

J Integr Bioinform. 2012 Jul 17;9(2):197. doi: 10.2390/biecoll-jib-2012-197.

PMID:
22802138
2.

Integrated simultaneous analysis of different biomedical data types with exact weighted bi-cluster editing.

Sun P, Guo J, Baumbach J.

J Integr Bioinform. 2012 Jun 1;9(2):53-67. doi: 10.1515/jib-2012-197.

PMID:
29220891
3.

BiCluE - Exact and heuristic algorithms for weighted bi-cluster editing of biomedical data.

Sun P, Guo J, Baumbach J.

BMC Proc. 2013 Dec 20;7(Suppl 7):S9. doi: 10.1186/1753-6561-7-S7-S9. Epub 2013 Dec 20.

4.

Large scale clustering of protein sequences with FORCE -A layout based heuristic for weighted cluster editing.

Wittkop T, Baumbach J, Lobo FP, Rahmann S.

BMC Bioinformatics. 2007 Oct 17;8:396.

5.

Exact and heuristic algorithms for weighted cluster editing.

Rahmann S, Wittkop T, Baumbach J, Martin M, Truss A, Böcker S.

Comput Syst Bioinformatics Conf. 2007;6:391-401.

6.

Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs.

Hartsperger ML, Blöchl F, Stümpflen V, Theis FJ.

BMC Bioinformatics. 2010 Oct 20;11:522. doi: 10.1186/1471-2105-11-522.

7.

Weighted graph cuts without eigenvectors a multilevel approach.

Dhillon IS, Guan Y, Kulis B.

IEEE Trans Pattern Anal Mach Intell. 2007 Nov;29(11):1944-57.

PMID:
17848776
8.

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 1;21(21):3993-9. Epub 2005 Sep 1.

PMID:
16141251
9.

Graph visualization techniques for web clustering engines.

Di Giacomo E, Didimo W, Grilli L, Liotta G.

IEEE Trans Vis Comput Graph. 2007 Mar-Apr;13(2):294-304.

PMID:
17218746
10.

Multi-way association extraction and visualization from biological text documents using hyper-graphs: applications to genetic association studies for diseases.

Mukhopadhyay S, Palakal M, Maddu K.

Artif Intell Med. 2010 Jul;49(3):145-54. doi: 10.1016/j.artmed.2010.03.002. Epub 2010 Apr 9.

PMID:
20382004
11.

CGTS: a site-clustering graph based tagSNP selection algorithm in genotype data.

Wang J, Guo MZ, Wang CY.

BMC Bioinformatics. 2009 Jan 30;10 Suppl 1:S71. doi: 10.1186/1471-2105-10-S1-S71.

12.
13.

A (sub)graph isomorphism algorithm for matching large graphs.

Cordella LP, Foggia P, Sansone C, Vento M.

IEEE Trans Pattern Anal Mach Intell. 2004 Oct;26(10):1367-72.

PMID:
15641723
14.

Advanced visualization of self-organizing maps with vector fields.

Pölzlbauer G, Dittenbach M, Rauber A.

Neural Netw. 2006 Jul-Aug;19(6-7):911-22. Epub 2006 Jun 19.

PMID:
16782304
15.

Combined morphological-spectral unsupervised image segmentation.

O'Callaghan RJ, Bull DR.

IEEE Trans Image Process. 2005 Jan;14(1):49-62.

PMID:
15646872
16.

A graph-based clustering method for a large set of sequences using a graph partitioning algorithm.

Kawaji H, Yamaguchi Y, Matsuda H, Hashimoto A.

Genome Inform. 2001;12:93-102.

PMID:
11791228
17.

ProClust: improved clustering of protein sequences with an extended graph-based approach.

Pipenbacher P, Schliep A, Schneckener S, Schönhuth A, Schomburg D, Schrader R.

Bioinformatics. 2002;18 Suppl 2:S182-91.

PMID:
12386002
18.

Bi-Force: large-scale bicluster editing and its application to gene expression data biclustering.

Sun P, Speicher NK, Röttger R, Guo J, Baumbach J.

Nucleic Acids Res. 2014 May;42(9):e78. doi: 10.1093/nar/gku201. Epub 2014 Mar 20.

19.

Efficient clustering aggregation based on data fragments.

Wu O, Hu W, Maybank SJ, Zhu M, Li B.

IEEE Trans Syst Man Cybern B Cybern. 2012 Jun;42(3):913-26. doi: 10.1109/TSMCB.2012.2183591. Epub 2012 Feb 10.

PMID:
22334025
20.

Computing the maximum similarity bi-clusters of gene expression data.

Liu X, Wang L.

Bioinformatics. 2007 Jan 1;23(1):50-6. Epub 2006 Nov 7.

PMID:
17090578

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