Changes in version 1.41.1 o -CHANGES * experimental trail for sub-clustering using kmeans Changes in version 1.39.4 o -CHANGES * sanitize parameter desciption in immunoMeta-object Changes in version 1.39.2-3 o CHANGES * fixes BioC 3.21 compiler errors Changes in version 1.39.1 o CHANGES * in subset.immunoClust keep NAs in label of subset-object * respect already transformed FCS-data in Default_Scales Changes in version 1.37.12-14 o CHANGES * improvements in meta.clustering process * minor changes in plot.immunoClust Changes in version 1.37.3-11 o CHANGES * processing time improvements in meta.SON.clustering and meta.SON.normalisation Changes in version 1.35.3 o CHANGES * bugfix subset.immunoMeta concerning parameter selection for level-plots Changes in version 1.33.6 o CHANGES * introducing method option for SON/ormalization * a bit clarification in E/M-calls interface Changes in version 1.33.2 o CHANGES * SON/ormalization back to Version 1.31.9 Changes in version 1.33.1 o CHANGES * normalization variants for combine clustering Changes in version 1.31.12 o CHANGES * introducing single E,M-steps Changes in version 1.31.8 o CHANGES * bugfix in plot.immunoClust Changes in version 1.31.5 o CHANGES * bugfix in meta.export Changes in version 1.31.3 o NEW FEATURE * introduces meta-clustering with SON/ormalization Changes in version 1.31.2 o CHANGES * bugfix in meta.export functions Changes in version 1.31.1 o CHANGES * additional option thres to control meta.SubClustering process * code cleaning Changes in version 1.29.3 o CHANGES * respect ICL im meta.SubClustering process Changes in version 1.29.2 o CHANGES * code cleaning Changes in version 1.29.1 o CHANGES * minor code improvements Changes in version 1.27.6 o CHANGES * bugfix in default scales Changes in version 1.27.5 o NEW FEATURES * Default-Scale for immunoMeta-objects Changes in version 1.27.4 o CHANGES * problems with immunoMeta-objects with 1 cluster Changes in version 1.27.3 o CHANGES * fixed problems with NA values in FCS data * default BD plot scales removed from meta.process Changes in version 1.27.2 o CHANGES * class and parameter information added to methods weights and mu Changes in version 1.27.1 o NEW FEATURES * added method cells for immunoClust-object * improvement in plot.immunoMeta * for.sample option in events.immunoClust Changes in version 1.25.2 o CHANGES * bugfix immunoMeta contructor from single immunoClust-object Changes in version 1.25.1 o CHANGES * bugfix im subset.immunoMeta-object Changes in version 1.23.6 o CHANGES * code cleaning Changes in version 1.23.3 o CHANGES * fixes a testthat misspelling Changes in version 1.23.2 o CHANGES * tolerance sufficience in cell-subclustering not required for first model refinement test Changes in version 1.23.1 o NEW FEATURES * added methods clusterDist, clusterProb, clusterCoeff for immunoMeta-object * starting with unit tests Changes in version 1.21.2 o CHANGES * plot of no clusters * solves the deprecated warning from flowCore * code cleaning Changes in version 1.21.1 o CHANGES * authors email contact Changes in version 1.19.4 o CHANGES * code cleaning Changes in version 1.19.3 o CHANGES * fixes a compiler error under windows Changes in version 1.19.1 o CHANGES * bugfix in transformParam.immunoMeta Changes in version 1.17.4 o CHANGES * bugfix in subset.immunoMeta and subset.immunoClust Changes in version 1.17.3 o CHANGES * bugfix in subset.immunoMeta Changes in version 1.17.2 o NEW FEATURES * introducing immunoMeta-class on meta-clustering results to buildup and annotate a hierarchical population/sub-populaton tree o CHANGES * trail of automated annotation of meta-clusters using scatter-clustering is removed. The approach does not work in a useful manner. Instead the immunoMeta-class is introduced providing methods for a manual annotation of meta-cluster. See man-pages and vignette for more details. * set.seed is removed from clustering routines. To obtain reproducible results with cell.process function set.seed has to set explicit before. Changes in version 1.17.1 o CHANGES * minor bugfixes and code cleaning * minor additional options for immunoClust.plot/splom Changes in version 1.15.1 o NEW FEATURES * additional cell-clustering method which is more reliable for samples with cuted edge values (e.g. CyTOF or logarithmic amplified and digitized) o CHANGES * bugfix in the final ICL calculation for meta-clustering * minor change in cluster re-labeling within sub-clustering routine which leads finally to differences in cluster numbering Changes in version 1.13.3 o NEW FEATURES * additional variant of t-mixture model fitting respecting truncated observed values o CHANGES * minor bugfixes and code cleaning Changes in version 1.9.3 o CHANGES * accidentally change in cell-clustering corrected * minor changes in plot and splom methods Changes in version 1.9.2 o CHANGES * Optional label parameter in meta-clustering to continue the meta-clustering with an initial cluster to meta-cluster assignment Changes in version 1.9.1 o CHANGES * Minor improvements and additional option in plot and splom methods * Introduce of ALPHA option also for normalization procedures Changes in version 1.3.3 o CHANGES * Optional plotting of additional parameter in FCS files * Minor changes in export meta-cluster features o BUGFIXES * Problems with clustering of 1-D data sets Changes in version 1.3.1 o CHANGES * The normalization step within the meta.clustering process is improved and extended which also effects the related parameter settings Changes in version 1.1.1 o NEW FEATURES * A normalization step which the sample cell-clusters to the common meta-cluster model is included an optionally activated during the major meta-clustering process. o CHANGES * The meta.ME C-binding and return value was modified in a way that the A-Posterior probability matrix Z for a cell-cluster belonging to a meta-cluster is also calculated and returned. o BUFIXES * Ellipse position were not correct when ploting a parameter subset Changes in version 1.0.0 o CHANGES * The code was cleaned and modified in the C-binding calls to make it runnable on R 3.1.2. * A bug in the cell.hclust function was fixed, which does not effect the general results but lead to minor differences in concrete numbers.