Man pages for segmenTier
Similarity-Based Segmentation of Multidimensional Signals
| ash | 'asinh' data transformation |
| backtrace | Back-tracing step of the 'segmenTier' algorithm. |
| calculateScore | segmenTier's core dynamic programming routine in Rcpp |
| clusterCor_c | Calculates position-cluster correlations for scoring function... |
| clusterTimeseries | Cluster a processed time-series with k-means. |
| colorClusters | Assign colors to clusters. |
| flowclusterTimeseries | Cluster a processed time-series with 'flowClust' &... |
| log_1 | log transformation handling zeros by adding 1 |
| logLik.kmeans | Experimental: AIC/BIC for kmeans |
| myPearson | Pearson product-moment correlation coefficient |
| plot.clustering | Plot method for the "clustering" object. |
| plotdev | Switch between plot devices. |
| plotSegmentation | Summary plot for the 'segmenTier' pipeline. |
| plot.segments | Plot method for the "segments" object. |
| plot.timeseries | Plot method for the "timeseries" object. |
| print.segments | Print method for segmentation result from 'segmentClusters'. |
| processTimeseries | Process a time-series for clustering and segmentation. |
| segmentCluster.batch | Batch wrapper for 'segmentClusters'. |
| segmentClusters | Run the 'segmenTier' algorithm. |
| segmenTier | segmenTier : cluster-based segmentation from a sequential... |
| setVarySettings | Parameters for 'segmentCluster.batch'. |
| sortClusters | Sort clusters by similarity. |
| tsd | Transcriptome time-series from budding yeast. |
