• DEseq

  • Referenced in 59 articles [sw10344]
  • gene expression analysis based on the negative binomial distribution. Estimate variance-mean dependence in count ... based on a model using the negative binomial distribution...
  • DESeq2

  • Referenced in 27 articles [sw41938]
  • gene expression analysis based on the negative binomial distribution. Estimate variance-mean dependence in count ... based on a model using the negative binomial distribution. Citation (from within R, enter citation...
  • BaySeq

  • Referenced in 17 articles [sw10343]
  • sequencing samples. The method assumes a negative binomial distribution for the data and derives...
  • GWRM

  • Referenced in 9 articles [sw11197]
  • count data based on the generalized Waring distribution is developed. This model allows the observed ... than a model based on the negative binomial distribution...
  • Segmentor3IsBack

  • Referenced in 9 articles [sw21077]
  • adaptation of the algorithm to the negative binomial distribution with which we model the data...
  • BayesLogit

  • Referenced in 44 articles [sw09312]
  • with binomial likelihoods. The approach appeals to a new class of Pólya-Gamma distributions, which ... method, including logistic regression, negative binomial regression, nonlinear mixed-effect models, and spatial models ... efficient sampler for the Pólya-Gamma distribution, are implemented in the R package BayesLogit. Supplementary...
  • glarma

  • Referenced in 5 articles [sw23274]
  • past predictive residuals. Currently three distributions (Poisson, negative binomial and binomial) can be used...
  • tscount

  • Referenced in 10 articles [sw23277]
  • allowed. The conditional distribution can be Poisson or Negative Binomial...
  • PePr

  • Referenced in 2 articles [sw34561]
  • genome among biological samples with a negative binomial distribution and uses a local variance estimation...
  • DEXUS

  • Referenced in 2 articles [sw23833]
  • counts as a finite mixture of negative binomial distributions in which each mixture component corresponds...
  • GENE-counter

  • Referenced in 1 article [sw20039]
  • based on variations of the negative binomial distribution. The default method ... over-parameterized version of the negative binomial distribution. GENE-counter also includes three different methods...
  • scModels

  • Referenced in 1 article [sw41031]
  • discrete distribution models to count data. Included are the Poisson, the negative binomial, the Poisson ... implementation of the Poisson-beta distribution (density, distribution and quantile functions, and random number generator ... variants of each of the three aforementioned distributions are also available. The variants include ... paper ”A mechanistic model for the negative binomial distribution of single-cell mRNA counts...
  • countvar

  • Referenced in 1 article [sw38345]
  • Poisson, Zero Inflated Generalized Possion and Negative Binomial Distribution...
  • spatcounts

  • Referenced in 6 articles [sw13743]
  • dispersion, the negative Binomial as well as the zero-inflated Poisson distribution which allows...
  • AS 68

  • Referenced in 1 article [sw03801]
  • estimating the parameters of the truncated negative binomial distribution...
  • NB.MClust

  • Referenced in 1 article [sw40210]
  • negative data that follow Generalized Negative Binomial distribution. All functions in this package applies...
  • gsarima

  • Referenced in 1 article [sw24136]
  • series with Normal / Gaussian, Poisson or negative binomial distribution...
  • zGPS.AO

  • Referenced in 1 article [sw36139]
  • based on the zero-inflated negative binomial distribution. It estimates the association between a specific...
  • PUseqClust

  • Referenced in 1 article [sw31589]
  • counts are popularly modeled by the negative binomial distribution to reduce the impact...
  • MITIE

  • Referenced in 1 article [sw34895]
  • likelihood function based on the negative binomial distribution, use a regularization approach to select...