dna: dna: a cnr with bulk DNA like copy number data

In SingerLab/gac: Genetic Analysis of Cells

dna: a cnr with bulk DNA like copy number data

Description

The cnr object is a list of four relational matrices. The bins, genes, annotation, qc, chromInfo, and gene.index. The structure is inspired by Scanpy's AnnData to which cleverly integrates complex data into a simple architecture.

Usage

data(dna)

Format

An object class list containg a rounded CNR

• X, An integer matrix of bins x n.cells containing DNA copy number ratio estimations for each bin[i] and cell[j] Where bins represent a common genomic segment across all cells (either a fixed with, variable binning, or .seg data). This data can be constructed using a variable length bin and CBS (Varbin algorithm) (Baslan et al 2012.), and implemented on Ginkgo, or from hmmCopy. These are upstream analyses to the package.

  For mutations in single-cells, X can be a binary incidence (0,1) matrix representing presence or absence of specific mutations, or a ternary (0,1,2) representing genotypes as the number of alternate allele copies

• genes, gene copy number interpolation from bins. The genes matrix is an interpolated, transposed, expansion of bins. The expansion is constructed internally using the expand2genes function.

• Y, phenotypic data of single-cells, contains cells as rows, and phentypes in columns. Phenotypes can be information about individual samples, or if same-cell methods were used, the RNA expression from the same cell. #'

• qc, quality control metrics. This matrix contains additional metadata that is technical, e.g. number of reads, MAPD estimates, and the PASS/FAIL qc.status for individual cells. contains cells as rows and metadata as columns

• chromInfo, ordered chromosome information for the bins

• gene.index, table to map bins to genes #' ...

Source

https://github.com/SingerLab/gac"

SingerLab/gac documentation built on March 23, 2024, 5:15 a.m.