flattenChow: Convert the output from superNOVA chowCor to an annotated...
In ryananeff/superNOVA: Differential coexpression within multiple subgroups of data
flattenChow R Documentation
Convert the output from superNOVA chowCor to an annotated edgelist, suitable for writing out to a .tsv file.
Description
Takes in results from chowCor as a list of 2d matrices and converts it into a single data.frame, where the first two columns are an edgelist of all pairs compared.
Usage
flattenChow(chow_result, adjust_q = T, sort_output = T)
Arguments
chow_result
A list of matrices as output by chowCor. Required
adjust_q
Should the q-values be calculated? Otherwise, qValDiff will be the same as pValDiff
sort_output
Should the final output be sorted from smallest to largest p-values?
Value
Returns a data.frame, sorted by superNOVA p-value, where each row is a feature pair, with columns "Gene1","Gene2","groupCor","groupCorPval","globalCor","globalCorP","pValDiff","Classes".
ryananeff/superNOVA documentation built on March 29, 2024, 5:31 p.m.
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| flattenChow | R Documentation |
Convert the output from superNOVA chowCor to an annotated edgelist, suitable for writing out to a .tsv file.
Description
Takes in results from chowCor as a list of 2d matrices and converts it into a single data.frame, where the first two columns are an edgelist of all pairs compared.
Usage
flattenChow(chow_result, adjust_q = T, sort_output = T)
Arguments
chow_result |
A list of matrices as output by chowCor. Required |
adjust_q |
Should the q-values be calculated? Otherwise, qValDiff will be the same as pValDiff |
sort_output |
Should the final output be sorted from smallest to largest p-values? |
Value
Returns a data.frame, sorted by superNOVA p-value, where each row is a feature pair, with columns "Gene1","Gene2","groupCor","groupCorPval","globalCor","globalCorP","pValDiff","Classes".
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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