flowClust Bioconductor package: Robust model-based clustering using a t-mixture model with Box-Cox transformation. Note: users should have GSL installed. Windows users: ’consult the README file available in the inst directory of the source distribution for necessary configuration instructions’.

References in zbMATH (referenced in 11 articles )

Showing results 1 to 11 of 11.
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  1. Lin, Tsung-I; Ho, Hsiu J.; Lee, Chia-Rong: Flexible mixture modelling using the multivariate skew-$t$-normal distribution (2014)
  2. Lee, Sharon X.; McLachlan, Geoffrey J.: Model-based clustering and classification with non-normal mixture distributions (2013)
  3. Lee, Gyemin; Scott, Clayton: EM algorithms for multivariate Gaussian mixture models with truncated and censored data (2012)
  4. Lo, Kenneth; Gottardo, Raphael: Flexible mixture modeling via the multivariate $t$ distribution with the Box-Cox transformation: an alternative to the skew-$t$ distribution (2012)
  5. Bashashati, Ali; Brinkman, Ryan R.: A survey of flow cytometry data analysis methods (2009)
  6. Finak, Greg; Bashashati, Ali; Brinkman, Ryan; Gottardo, Raphaël: Merging mixture components for cell population identification in flow cytometry (2009)
  7. Gosink, John J.; Means, Gary D.; Rees, William A.; Su, Cheng; Rand, Hugh A.: Bridging the divide between manual gating and bioinformatics with the bioconductor package flowflowjo (2009)
  8. Lee, Kyongryun; Hahne, Florian; Sarkar, Deepayan; Gentleman, Robert: Iflow: a graphical user interface for flow cytometry tools in bioconductor (2009)
  9. Rogers, Wade T.; Holyst, Herbert A.: FlowFP: a bioconductor package for fingerprinting flow cytometric data (2009)
  10. Strain, Errol; Hahne, Florian; Brinkman, Ryan R.; Haaland, Perry: Analysis of high-throughput flow cytometry data using platecore (2009)
  11. Walther, Guenther; Zimmerman, Noah; Moore, Wayne; Parks, David; Meehan, Stephen; Belitskaya, Ilana; Pan, Jinhui; Herzenberg, Leonore: Automatic clustering of flow cytometry data with density-based merging (2009)