dbbinom

Beta-binomial distribution density function
A distribution is beta-binomial if p, the probability of success, 
in a binomial distribution has a beta distribution with shape 
parameters alpha &gt; 0 and beta &gt; 0
For more details, see extraDistr::dbbinom

internal

A computational method that infers copy number variations (CNVs) in cancer scRNA-seq data and reconstructs the tumor phylogeny. 'numbat' integrates signals from gene expression, allelic ratio, and population haplotype structures to accurately infer allele-specific CNVs in single cells and reconstruct their lineage relationship. 'numbat' can be used to: 1. detect allele-specific copy number variations from single-cells; 2. differentiate tumor versus normal cells in the tumor microenvironment; 3. infer the clonal architecture and evolutionary history of profiled tumors. 'numbat' does not require tumor/normal-paired DNA or genotype data, but operates solely on the donor scRNA-data data (for example, 10x Cell Ranger output). Additional examples and documentations are available at <https://kharchenkolab.github.io/numbat/>. For details on the method please see Gao et al. Nature Biotechnology (2022) <doi:10.1038/s41587-022-01468-y>.

Teng Gao

numbat

Haplotype-Aware CNV Analysis from scRNA-Seq

Ruslan Soldatov

Hirak Sarkar

Evan Biederstedt

Peter Kharchenko

dbbinom function

<dl><dt>x</dt>
<dd>vector of quantiles</dd>
<dt>size</dt>
<dd>number of trials (zero or more)</dd>
<dt>alpha</dt>
<dd>numeric (default=1)</dd>
<dt>beta</dt>
<dd>numeric (default=1)</dd>
<dt>log</dt>
<dd>boolean (default=FALSE)</dd></dl>

Arguments

Beta-binomial distribution density function
A distribution is beta-binomial if p, the probability of success, 
in a binomial distribution has a beta distribution with shape 
parameters alpha &gt; 0 and beta &gt; 0
For more details, see extraDistr::dbbinom — dbbinom

<dl>

<dt>x</dt>
<dd>vector of quantiles</dd>


<dt>size</dt>
<dd>number of trials (zero or more)</dd>


<dt>alpha</dt>
<dd>numeric (default=1)</dd>


<dt>beta</dt>
<dd>numeric (default=1)</dd>


<dt>log</dt>
<dd>boolean (default=FALSE)</dd>

</dl>

Beta-binomial distribution density function
A distribution is beta-binomial if p, the probability of success, 
in a binomial distribution has a beta distribution with shape 
parameters alpha &gt; 0 and beta &gt; 0
For more details, see extraDistr::dbbinom

dbbinom: Beta-binomial distribution density function A distribution is beta-binomial if p, the probability of success, in a binomial distribution has a beta distribution with shape parameters alpha > 0 and beta > 0 For more details, see extraDistr::dbbinom

Description

Usage

Value

Arguments