smooth_segs

Smooth the segments after HMM decoding

internal

Haplotype-aware Hidden Markov Model for RNA (HaHMMR) is a method for detecting copy number variations (CNVs) from bulk RNA-seq data. Additional examples, documentations, and details on the method are available at <https://github.com/kharchenkolab/hahmmr/>.

Teng Gao

hahmmr

Haplotype-Aware Hidden Markov Model for RNA

Evan Biederstedt

Peter Kharchenko

smooth_segs function

<dl><dt>bulk</dt>
<dd>dataframe Pseudobulk profile</dd>
<dt>min_genes</dt>
<dd>integer Minimum number of genes to call a segment</dd></dl>

Arguments

Smooth the segments after HMM decoding — smooth_segs

<dl>

<dt>bulk</dt>
<dd>dataframe Pseudobulk profile</dd>


<dt>min_genes</dt>
<dd>integer Minimum number of genes to call a segment</dd>

</dl>

smooth_segs: Smooth the segments after HMM decoding

Description

Usage

Value

Arguments