Description Usage Details Value Author(s) References See Also Examples
Query genes, positive control genes, and negative control genes for example cell types.
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'ExampleQueryGenes' is a data frame listing the cell types and query genes
analyzed in Nelms, et al. (2016). These genes can be used as query or control
genes for custom CellMapper searches, and are also provided for reproducibility
of the manuscript results. All predictions from the manuscript can be generated
using the ReplicateManuscript
function. The 'Dataset' column indicates
which dataset(s) were used for each cell type, available from Bioconductor's
ExperimentHub
. All datasets are available from the CellMapperData
package.
'PositiveControlGenes' is a list of positive control genes for each cell type used in Nelms, et al. (2016). These positive control genes were NOT provided to the algorithm, but were used to assess the accuracy of the results. This list contains Entrez gene IDs.
'NegativeControlGenes' is a list of negative control genes for each cell type used in Nelms, et al. (2016). These negative control genes were NOT provided to the algorithm, but were used to assess the accuracy of the results. This list contains Entrez gene IDs.
'ExampleQueryGenes' is a data frame, 'PositiveControlGenes' and 'NegativeControlGenes' are both lists of character vectors
Brad Nelms
B.D. Nelms, L. Waldron, L.A. Barrera, A.W. Weflen, J.A. Goettel, G. Guo, R.K. Montgomery, M.R. Neutra, D.T. Breault, S.B. Snapper, S.H. Orkin, M.L. Bulyk, C. Huttenhower and W.I. Lencer. CellMapper: rapid and accurate inference of gene expression in difficult-to-isolate cell types. Genome Biology 2016, 17(1).
CMsearch
, ReplicateManuscript
,
CellMapperData
,
ExperimentHub
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Loading required package: S4Vectors
Loading required package: stats4
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, sd, var, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, basename, cbind, colMeans, colSums, colnames,
dirname, do.call, duplicated, eval, evalq, get, grep, grepl,
intersect, is.unsorted, lapply, lengths, mapply, match, mget,
order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
union, unique, unsplit, which, which.max, which.min
Attaching package: 'S4Vectors'
The following object is masked from 'package:base':
expand.grid
Warning messages:
1: replacing previous import 'stats::sd' by 'S4Vectors::sd' when loading 'CellMapper'
2: replacing previous import 'stats::var' by 'S4Vectors::var' when loading 'CellMapper'
CellType GeneName EntrezID Dataset
1 Adipocytes FABP4 2167 EH171, EH172, EH173
2 Astrocytes ALDH1L1 10840 EH170
3 B Cells CD19 930 EH171, EH172, EH173
4 Cardiomyocytes TNNI3 7137 EH171, EH172, EH173
5 Chondrocytes ACAN 176 EH171, EH172, EH173
6 Endothelial Cells TEK 7010 EH171, EH172, EH173
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