• GLLAMM

  • Referenced in 63 articles [sw06517]
  • cluster sizes are large and the responses include (large) counts and/or continuous variables. Even where...
  • DCluster

  • Referenced in 10 articles [sw08594]
  • detection of spatial clusters of disease using count data. Bootstrap is used to estimate sampling...
  • cosmoabc

  • Referenced in 6 articles [sw20219]
  • parameters based on measurements of galaxy clusters number counts without computing the likelihood function. cosmoabc...
  • DOULION

  • Referenced in 12 articles [sw30192]
  • triangles in massive graphs with a coin. Counting the number of triangles in a graph ... clustering coefficient and the transitivity ratio involve the execution of a triangle counting algorithm. Furthermore...
  • TRD

  • Referenced in 1 article [sw26754]
  • energy particle identification using either the cluster counting or the total charge measurement method...
  • SUMMARIST

  • Referenced in 3 articles [sw26528]
  • techniques, being based on word counting and word clustering, cannot create true summaries because they...
  • CountClust

  • Referenced in 2 articles [sw38316]
  • admixture models) to cluster RNA-seq gene expression count data, identifies characteristic genes driving cluster...
  • glmmML

  • Referenced in 9 articles [sw07509]
  • Generalized linear models with clustered data: fixed and random effects models The statistical analysis ... mixed effects models for binary and count data is investigated. In the statistical computing environment ... fixed effects model, assuming that all cluster intercepts are distinct fixed parameters; moreover, a bootstrapping...
  • greed

  • Referenced in 3 articles [sw41875]
  • that enable the clustering of networks and data matrices (such as counts, categorical or continuous...
  • RNA-Skim

  • Referenced in 1 article [sw36899]
  • demonstrate that the sig-mer counts within a cluster are sufficient for estimating transcript abundances...
  • PUseqClust

  • Referenced in 1 article [sw31589]
  • possibilities for clustering analysis of gene expression. In this area, read counts are popularly modeled ... distribution, while most existing clustering methods process directly read counts. They do not fully consider ... Some methods also ignore the variability of clustering centers. This study proposes PUseqClust (propagating uncertainty...
  • QCluster

  • Referenced in 1 article [sw34400]
  • collapsing redundant reads in a single cluster to improve the run time, memory requirements ... based on k-mers counts, have been used to cluster reads. Quality scores produced ... incorporate quality value information and k-mers counts for the comparison of reads data...
  • Corset

  • Referenced in 1 article [sw28784]
  • novo transcriptome assembly to gene-level counts. Our software takes a set of reads that ... alignments per read were reported) and hierarchically clusters the transcripts based on the proportion ... patterns. It will report the clusters and gene-level counts for each sample, which...
  • CAV

  • Referenced in 12 articles [sw06910]
  • this paper, we introduce two approaches to counting permutations that avoid a set of prescribed ... second algorithm, we define the cluster tail generating function and show that it always satisfies...
  • ACOMCD

  • Referenced in 2 articles [sw40215]
  • clusters to identify their natural shapes. The algorithm was designed for spatial regional count data ... simultaneously determining the exact number of clusters and identifying multiple irregularly shaped clusters. A case...
  • smerc

  • Referenced in 2 articles [sw30059]
  • counts of areal data, with a focus on the detection of spatial clusters and clustering...
  • MixAll

  • Referenced in 2 articles [sw35315]
  • based clustering and classification. It supports various types of data: continuous, categorical and counting...
  • csaw

  • Referenced in 3 articles [sw17944]
  • window-based strategy to summarize read counts across the genome. It exploits existing statistical software ... significant differences in each window. Finally, it clusters windows into regions for output and controls...
  • PhyloScan

  • Referenced in 3 articles [sw34212]
  • Each of the local DMs captures the count distributions of a certain number of operational ... Since distributional differences tend to occur in clusters along evolutionary lineages, we design a scan...
  • FASTAptamer

  • Referenced in 1 article [sw28242]
  • read counts in a FASTQ file, compares populations for sequence distribution, generates clusters of sequence...