You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
A new option cut_p_value is added to show_group_enrichment() to cut continous p values as binned regions.
A Python backend for sig_extract() is provided.
User now can directly use sig_extract() and sig_auto_extract() instead of loading NMF package firstly.
Added benchmark results for different extraction approaches in README.
The threshold for auto_reduce in sig_fit() is modified from 0.99 to 0.95 and similarity update threshold updated from >0 to >=0.01.
Removed pConstant option from sig_extract() and sig_estimate(). Now a
auto-check function is created for avoiding the error from NMF package due to
no contribution of a component in all samples.
NEW FUNCTIONS
bp_show_survey2() to plot a simplified version for signature number survey (#330).
read_xena_variants() to read variant data from UCSC Xena as a MAF object for signature analysis.
get_sig_rec_similarity() for getting reconstructed profile similarity for Signature object (#293).
Added functions start with bp_ which are combined to provide a best practice for extracting
signatures in cancer researches. See more details, run ?bp in your R console.