def hop_across(pairsa, pairsb, pairs_exclude):
a,b = [ut.dict_sets_from_tuples(p) for p in pairsa,pairsb]
pd_exclude = pd.PairDict(pairs_exclude)
newpairs = [(x,z) for x in a for y in a.get(x,[]) for z in b.get(y,[])
if not (x==z or pd_exclude.contains((x,z)))]
newpairs = pu.dedupe(newpairs)
return newpairs
def seq_pairs(S, enzymes, mat_adj=None, conv_dict=None, return_groups=False):
"""
- S: stoichiometric matrix of reactants (-) and products (+)
- enzymes: list of enzymes corresponding to columns in S
"""
mat_adj = mat_adj if mat_adj is not None else adj_matrix(S)
rows, cols = np.where(mat_adj > 0)
#wrestling with where output
rows, cols = [np.array(x)[0] for x in rows, cols]
rowcols = ut.zip_exact(rows, cols)
# dedup, keeping only upper off-diagonal
rowcols = [(row,col) for row,col in rowcols if row < col]
pairs = [(enzymes[row],enzymes[col]) for row,col in rowcols]
# filter out blanks
labeled_pairs = [(x,y) for x,y in pairs if x and y]
if return_groups:
if conv_dict:
return convert_groups_singles(labeled_pairs, conv_dict)
else:
return labeled_pairs
single_pairs = [(xi,yi) for x,y in labeled_pairs
for xi in x.split() for yi in y.split()]
unique_pairs = pu.dedupe(single_pairs)
print "%s total, %s labeled, %s single, %s unique pairs returned" % (len(pairs),
len(labeled_pairs), len(single_pairs), len(unique_pairs))
if conv_dict:
conv_pairs = convert_pairs_singles(unique_pairs, conv_dict)
print "%s converted pairs with 1-1 matches" % len(conv_pairs)
return conv_pairs
else:
return unique_pairs
def load_kegg_sequentials(fname, do_convert=True):
dkegg = load_kegg_brite(fname)
kegg_paths = [ut.i1(v) for v in dkegg.values() if v]
def path_pairs(list_path):
return [(list_path[i],list_path[i+1]) for i in range(len(list_path)-1)]
group_pairs = ut.flatten([path_pairs(lpath) for lpath in kegg_paths])
#if return_groups:
#if conv_dict:
#return convert_groups_singles(labeled_pairs, conv_dict)
#else:
#return labeled_pairs
single_pairs = [(xi,yi) for x,y in group_pairs for xi in x for yi in y]
unique_pairs = pu.dedupe(single_pairs)
print "%s total, %s single, %s unique pairs returned" % (
len(group_pairs), len(single_pairs), len(unique_pairs))
if do_convert:
conv_dict = ut.dict_inverse_sets(orth.convert_dict('Hs','Hs_entrez'))
conv_pairs = convert_pairs_singles(unique_pairs, conv_dict)
print "%s converted pairs with 1-1 matches" % len(conv_pairs)
return conv_pairs
else:
return unique_pairs
def pairs_from_complexes(complexes):
raw_pairs = ut.flatten([[x for x in it.combinations(group,2)]
for group in complexes])
deduped = pu.dedupe(raw_pairs)
return deduped
def random_pairs(pairs, npairs):
ps = list(set(ut.i0(pairs) + ut.i1(pairs)))
rpairs = [(random.choice(ps), random.choice(ps)) for i in
range(int(npairs*1.5))]
return pu.dedupe(rpairs)[:npairs]
