References in zbMATH (referenced in 10 articles )

Showing results 1 to 10 of 10.
Sorted by year (citations)

  1. Atkins, Jamin; Sharma, Davinder Pal: Visualization of babble-speech interactions using Andrews curves (2016) ioport
  2. Blum, Yuna; Houée-Bigot, Magalie; Causeur, David: Sparse factor model for co-expression networks with an application using prior biological knowledge (2016)
  3. Wang, Y.X.Rachel; Huang, Haiyan: Review on statistical methods for gene network reconstruction using expression data (2014)
  4. Yu, Hong; Liu, Zhanguo; Wang, Guoyin: An automatic method to determine the number of clusters using decision-theoretic rough set (2014)
  5. Hardin, Johanna; Garcia, Stephan Ramon; Golan, David: A method for generating realistic correlation matrices (2013)
  6. Feher, Kristen; Whelan, James; Müller, Samuel: Assessing modularity using a random matrix theory approach (2011)
  7. Jarman, I.H.; Etchells, T.A.; Bacciu, D.; Garibaldi, J.M.; Ellis, I.O.; Lisboa, P.J.G.: Clustering of protein expression data: a benchmark of statistical and neural approaches (2011) ioport
  8. Choi, Dongseok; Sharma, Srilakshmi M.; Pasadhika, Sirichai; Kang, Zhixin; Harrington, Christina A.; Smith, Justine R.; Planck, Stephen R.; Rosenbaum, James T.: Application of biostatistics and bioinformatics tools to identify putative transcription factor-gene regulatory network of ankylosing spondylitis and sarcoidosis (2009)
  9. Park, P.J.; Manjourides, J.; Bonetti, M.; Pagano, M.: A permutation test for determining significance of clusters with applications to spatial and gene expression data (2009)
  10. Langfelder, Peter; Zhang, Bin; Horvath, Steve: Defining clusters from a hierarchical cluster tree: The dynamic tree cut package for R. (2008) ioport