Biclustering (German Wikipedia)

Analysis of information sources in references of the Wikipedia article "Biclustering" in German language version.

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arxiv.org

  • Antonio Mucherino, Sonia Cafieri: A New Heuristic for Feature Selection by Consistent Biclustering. In: Cornell University. 2010, arxiv:1003.3279v1.

doi.org

  • Iven Van Mechelen, Hans-Hermann Bock, Paul De Boeck: Two-mode clustering methods:a structured overview. In: Statistical Methods in Medical Research. 13. Jahrgang, Nr. 5, 2004, S. 363–94, doi:10.1191/0962280204sm373ra, PMID 15516031.
  • J.A. Hartigan: Direct clustering of a data matrix. In: Journal of the American Statistical Association. 67. Jahrgang, Nr. 337. American Statistical Association, 1972, S. 123–9, doi:10.2307/2284710.
  • Stanislav Busygin, Oleg Prokopyev, Panos M. Pardalos: Biclustering in data mining. In: Computers & Operations Research. 35. Jahrgang, Nr. 9, 2008, S. 2964–2987, doi:10.1016/j.cor.2007.01.005.
  • Sara C. Madeira, Arlindo L. Oliveira: Biclustering Algorithms for Biological Data Analysis: A Survey. In: IEEE Transactions on Computational Biology and Bioinformatics. 1. Jahrgang, Nr. 1, 2004, S. 24–45, doi:10.1109/TCBB.2004.2, PMID 17048406.
  • Hans-Peter Kriegel, Peer Kröger, Arthur Zimek: Clustering High Dimensional Data: A Survey on Subspace Clustering, Pattern-based Clustering, and Correlation Clustering. In: ACM Transactions on Knowledge Discovery from Data (TKDD). 3. Jahrgang, Nr. 1, März 2009, S. 1–58, doi:10.1145/1497577.1497578.
  • Amos Tanay, Roded Sharan, Martin Kupiec, Ron Shamir: Revealing modularity and organization in the yeast molecular network by integrated analysis of highly heterogeneous genomewide data. In: Proc Natl Acad Sci USA. 101. Jahrgang, Nr. 9, 2004, S. 2981–2986, doi:10.1073/pnas.0308661100, PMID 14973197, PMC 365731 (freier Volltext).
  • Ahsan Abdullah, Amir Hussain: A new biclustering technique based on crossing minimization. In: Neurocomputing. 69. Jahrgang, Nr. 16–18, 2006, S. 1882–1896, doi:10.1016/j.neucom.2006.02.018 (elsevier.com).
  • David J. Reiss, Nitin S. Baliga, Richard Bonneau: Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks. In: BMC Bioinformatics. 2. Jahrgang, 2006, S. 280–302, doi:10.1186/1471-2105-7-280, PMID 16749936, PMC 1502140 (freier Volltext).
  • Sepp Hochreiter, Ulrich Bodenhofer, Martin Heusel, Andreas Mayr, Andreas Mitterecker, Adetayo Kasim, Tatsiana Khamiakova, Suzy Van Sanden, Dan Lin, Willem Talloen, Luc Bijnens, Hinrich W. H. Gohlmann, Ziv Shkedy, Djork-Arné Clevert: FABIA: factor analysis for bicluster acquisition. In: Bioinformatics. 26. Jahrgang, Nr. 12, 2010, S. 1520–1527, doi:10.1093/bioinformatics/btq227, PMID 20418340, PMC 2881408 (freier Volltext).
  • Sara C. Madeira, Miguel C. Teixeira, Isabel Sá-Correia, Arlindo L. Oliveira: Identification of Regulatory Modules in Time Series Gene Expression Data using a Linear Time Biclustering Algorithm. In: IEEE Transactions on Computational Biology and Bioinformatics. 1. Jahrgang, Nr. 7, 2010, S. 153–165, doi:10.1109/TCBB.2008.34.
  • Jesús S. Aguilar-Ruiz: Shifting and scaling patterns from gene expression data. In: Bioinformatics. 21. Jahrgang, Nr. 10, 2005, S. 3840–3845, doi:10.1093/bioinformatics/bti641, PMID 16144809.
  • Gilles Bisson, Fawad Hussain: Chi-Sim: A new similarity measure for the co-clustering task. In: ICMLA. 2008, S. 211–217, doi:10.1109/ICMLA.2008.103.

elsevier.com

linkinghub.elsevier.com

nih.gov

ncbi.nlm.nih.gov

  • Iven Van Mechelen, Hans-Hermann Bock, Paul De Boeck: Two-mode clustering methods:a structured overview. In: Statistical Methods in Medical Research. 13. Jahrgang, Nr. 5, 2004, S. 363–94, doi:10.1191/0962280204sm373ra, PMID 15516031.
  • Sara C. Madeira, Arlindo L. Oliveira: Biclustering Algorithms for Biological Data Analysis: A Survey. In: IEEE Transactions on Computational Biology and Bioinformatics. 1. Jahrgang, Nr. 1, 2004, S. 24–45, doi:10.1109/TCBB.2004.2, PMID 17048406.
  • Amos Tanay, Roded Sharan, Martin Kupiec, Ron Shamir: Revealing modularity and organization in the yeast molecular network by integrated analysis of highly heterogeneous genomewide data. In: Proc Natl Acad Sci USA. 101. Jahrgang, Nr. 9, 2004, S. 2981–2986, doi:10.1073/pnas.0308661100, PMID 14973197, PMC 365731 (freier Volltext).
  • David J. Reiss, Nitin S. Baliga, Richard Bonneau: Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks. In: BMC Bioinformatics. 2. Jahrgang, 2006, S. 280–302, doi:10.1186/1471-2105-7-280, PMID 16749936, PMC 1502140 (freier Volltext).
  • Sepp Hochreiter, Ulrich Bodenhofer, Martin Heusel, Andreas Mayr, Andreas Mitterecker, Adetayo Kasim, Tatsiana Khamiakova, Suzy Van Sanden, Dan Lin, Willem Talloen, Luc Bijnens, Hinrich W. H. Gohlmann, Ziv Shkedy, Djork-Arné Clevert: FABIA: factor analysis for bicluster acquisition. In: Bioinformatics. 26. Jahrgang, Nr. 12, 2010, S. 1520–1527, doi:10.1093/bioinformatics/btq227, PMID 20418340, PMC 2881408 (freier Volltext).
  • Jesús S. Aguilar-Ruiz: Shifting and scaling patterns from gene expression data. In: Bioinformatics. 21. Jahrgang, Nr. 10, 2005, S. 3840–3845, doi:10.1093/bioinformatics/bti641, PMID 16144809.