def figures(recon_fname, exclude_recon_fname, kegg_fname, all_ppis_fname,
recon_pairs=None, do_plot_cdf=False, return_pairs=False):
rpairs = recon_pairs or load_seq_pairs(recon_fname,
ut.load_list(exclude_recon_fname))
kpairs = load_kegg_sequentials(kegg_fname)
pdk = pd.PairDict(kpairs)
intpairs = [p for p in rpairs if pdk.contains(p)]
ppis = pu.load_ppis(all_ppis_fname)
plot_pairs_randoms_etc(intpairs, ppis)
if do_plot_cdf:
plot_cdf_pos_randoms(intpairs, ppis)
if return_pairs:
return intpairs
def load_cxppis(fname='/Users/blakeweb/Dropbox/complex/shared_complexes/predictions/Hs_2sp_v35.6_clustered_ppis_981cxs.txt'):
return pu.load_ppis(fname)
def load_ppis(fname='/Users/blakeweb/Dropbox/complex/shared_complexes/predictions/Hs_2sp_35.6_ppis_highconfidence_from35.3_ppis_goldlabeled_top16655_cumprec70pct.txt'):
return pu.load_ppis(fname)
