HTSCluster-package |
Clustering high throughput sequencing (HTS) data |
emInit |
Parameter initialization for a Poisson mixture model. |
highDimensionARI |
Calculate ARI for high-dimensional data via data splits |
HTSCluster |
Clustering high throughput sequencing (HTS) data |
HTSClusterUsersGuide |
View HTSCluster User's Guide |
kmeanInit |
Parameter initialization for a Poisson mixture model. |
logLikePoisMix |
Log likelihood calculation for a Poisson mixture model |
logLikePoisMixDiff |
Log likelihood calculation for a Poisson mixture model |
mylogLikePoisMixObs |
Log likelihood calculation for a Poisson mixture model |
plot.HTSCluster |
Visualize results from clustering using a Poisson mixture model |
plot.HTSClusterWrapper |
Visualize results from clustering using a Poisson mixture model |
PoisMixClus |
Poisson mixture model estimation and model selection |
PoisMixClusWrapper |
Poisson mixture model estimation and model selection |
PoisMixMean |
Calculate the conditional per-cluster mean of each observation |
PoisMixSim |
Simulate data from a Poisson mixture model |
probaPost |
Calculate the conditional probability of belonging to each cluster in a Poisson mixture model |
probaPostInit |
Parameter initialization for a Poisson mixture model. |
splitEMInit |
Parameter initialization for a Poisson mixture model. |
summary.HTSCluster |
Summarize results from clustering using a Poisson mixture model |
summary.HTSClusterWrapper |
Summarize results from clustering using a Poisson mixture model |