citation("SingleCellMultiModal")
and the vignette.ontomap
function provides a reference table of ontology IDs and cell
names by data type available in the package.scRNAseq
colData
added to cord_blood
and peripheral_blood
datasets
provided by the CITEseq
function. (@drighelli)HDF5
as format
input in scMultiome
, the filtering of file
paths obtained from ExperimentHub
has been fixed.BiocBaseUtils
internally to handle assertions and checks.GTseq
dataset.SCoPE2
vignette (@cvanderaa).scMultiome
version 1.0.1
provides the 10X format for RNAseq data.seqFISH
vignette and documentation.SummarizedExperiment
where assayDimnames
are
checked.scNMT
defaults to version '1.0.0's QC filtered cells. For unfiltered
cells see version section in ?scNMT
.SingleCellMultiModal
function allows the combination of multiple
multi-modal technologies.GTseq
data from Macaulay et al. (2015) now available (@lgeistlinger)SCoPE2
data from Specht et al. now available thanks to @cvanderaa (#26)scMultiome
provides PBMC from 10X Genomics thanks to @rargelaguetSingleCellMultiModal
scNMT
includes the original call in the MultiAssayExperiment
metadataseqFISH
uses the spatialData
argument with DataFrame
input based on
changes to SpatialExperiment
(@drighelli)sampleMap
in CITEseq
(@drighelli)CITEseq
function, vignette, and 'cord_blood' data available
(@drighelli, #18)seqFISH
function, vignette, and 'mouse_visual_cortex' data
(v1 and v2 from @drighelli, #14)version
argument to indicate the mouse_gastrulation
data versiontools::R_user_dir
and not rappdirs
.ExperimentHub
metadata.version
argument in scNMT
function now set to "2.0.0" (version
"1.0.0" still available)scNMT
serves the mouse gastrulation dataset from Argelaguet et al. 2019Add the following code to your website.
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