Index

B | C | D | E | F | G | K | M | N | P | R | S | T | V

B

balance() (kpal.klib.Profile method)
binary_to_dna() (kpal.klib.Profile method)

C

copy() (kpal.klib.Profile method)
cosine_similarity() (in module kpal.metrics)

D

distance() (kpal.kdistlib.ProfileDistance method)
distance_matrix() (in module kpal.kdistlib)
distribution() (in module kpal.metrics)
dna_to_binary() (kpal.klib.Profile method)
dynamic_smooth() (kpal.kdistlib.ProfileDistance method)

E

euclidean() (in module kpal.metrics)

F

from_fasta() (kpal.klib.Profile class method)
from_fasta_by_record() (kpal.klib.Profile class method)
from_file() (kpal.klib.Profile class method)
from_file_old_format() (kpal.klib.Profile class method)
from_sequences() (kpal.klib.Profile class method)

G

get_scale() (in module kpal.metrics)

K

kpal.kdistlib (module)
kpal.klib (module)
kpal.metrics (module)

M

mean (kpal.klib.Profile attribute)
median (kpal.klib.Profile attribute)
merge() (kpal.klib.Profile method)
mergers (in module kpal.metrics)
multiset() (in module kpal.metrics)

N

name (kpal.klib.Profile attribute)
non_zero (kpal.klib.Profile attribute)
number (kpal.klib.Profile attribute)

P

pairwise (in module kpal.metrics)
positive() (in module kpal.metrics)
print_counts() (kpal.klib.Profile method)
Profile (class in kpal.klib)
ProfileDistance (class in kpal.kdistlib)

R

reverse_complement() (kpal.klib.Profile method)

S

save() (kpal.klib.Profile method)
scale_down() (in module kpal.metrics)
shrink() (kpal.klib.Profile method)
shuffle() (kpal.klib.Profile method)
split() (kpal.klib.Profile method)
std (kpal.klib.Profile attribute)
summary (in module kpal.metrics)

T

total (kpal.klib.Profile attribute)

V

vector_distance (in module kpal.metrics)
vector_length() (in module kpal.metrics)