mergeAndAggregate: Aggregates sequence counts for each sequence cluster
In timjeske/DEUS: Differential expression of unique sequences
Description
Usage
Arguments
Value
Description
Aggregates sequence counts for each sequence cluster
Usage
1
mergeAndAggregate(map, cl_count_table, clust_result)
Arguments
map
A data frame with sequences as row names and sequence identifiers in first column.
Can be generated by createMap
cl_count_table
Count table created by createCountTableFromFastQs
clust_result
Dataframe containing clustering results as created by runClustering
Value
A dataframe that includes sequence counts for each sequence cluster. Can be used as input for DE analysis
timjeske/DEUS documentation built on June 6, 2019, 12:59 p.m.
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Description Usage Arguments Value
Description
Aggregates sequence counts for each sequence cluster
Usage
1 | mergeAndAggregate(map, cl_count_table, clust_result)
|
Arguments
map |
A data frame with sequences as row names and sequence identifiers in first column. Can be generated by createMap |
cl_count_table |
Count table created by createCountTableFromFastQs |
clust_result |
Dataframe containing clustering results as created by runClustering |
Value
A dataframe that includes sequence counts for each sequence cluster. Can be used as input for DE analysis
R Package Documentation
Browse R Packages
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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