Data.gexp.stats: Gene expression level computed from raw data input- raw...
In samychillara/ScRB: What the Package Does (One Line, Title Case)
Description
Gene expression level computed from raw data
input- raw counts data matrix: genes x cells; threshold vector: a vector of integer values which are bins for classifying counts data; percentage of min cells required to express a given gexp value
output- named vector: names-gene name, value-maximum gene expression.
A gene is highly expressed if there exists at least min.cells percent of cell population that have above th.gexp UMI counts. Otherwise gene is lowly expressed
Usage
1
Data.gexp.stats(data_counts, th.gexp_vec, min.cells)
samychillara/ScRB documentation built on March 4, 2021, 12:53 a.m.
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Description
Gene expression level computed from raw data input- raw counts data matrix: genes x cells; threshold vector: a vector of integer values which are bins for classifying counts data; percentage of min cells required to express a given gexp value output- named vector: names-gene name, value-maximum gene expression. A gene is highly expressed if there exists at least min.cells percent of cell population that have above th.gexp UMI counts. Otherwise gene is lowly expressed
Usage
1 | Data.gexp.stats(data_counts, th.gexp_vec, min.cells)
|
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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