data_biase

<p>This dataset was created by Biase et al. to study cell fat inclination in
mouse embryos. It contains FPKM gene expression measurements for 49 cells
and 16,514 genes. There are three cell types in the dataset, zygote,
two-cell embryo, and four-cell embryo cells.</p>

datasets

Implements the algorithm described in
Barron, M., Zhang, S. and Li, J. 2017, "A sparse differential
clustering algorithm for tracing cell type changes via single-cell
RNA-sequencing data", Nucleic Acids Research, gkx1113,
<doi:10.1093/nar/gkx1113>. This algorithm clusters samples from two
different populations, links the clusters across the conditions and
identifies marker genes for these changes. The package was designed for
scRNA-Seq data but is also applicable to many other data types, just
replace cells with samples and genes with variables. The package also
contains functions for estimating the parameters for SparseDC as outlined
in the paper. We recommend that users further select their marker genes
using the magnitude of the cluster centers.

Jun Li

SparseDC

Implementation of SparseDC Algorithm

Martin Barron

data_biase function

<p>An R.Data object storing FPKM gene expression
measurements for each of the samples.</p>

data_biase: Biase Data

Description

Usage

Arguments

Format