popgen-npe
Contents:
Installation
Soup-to-Nuts Tutorial: Rate Landscape Estimation
Usage
Simulators
Processors
API Reference
Contributing
popgen-npe
Index
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
M
|
R
|
S
|
T
|
V
|
Y
A
AraTha_2epoch (class in workflow.scripts.ts_simulators)
B
BaseProcessor (class in workflow.scripts.ts_processors)
,
[1]
BaseSimulator (class in workflow.scripts.ts_simulators)
C
cnn_extract (class in workflow.scripts.ts_processors)
,
[1]
D
default_config (workflow.scripts.ts_processors.cnn_extract attribute)
,
[1]
(workflow.scripts.ts_processors.genotypes_and_distances attribute)
,
[1]
(workflow.scripts.ts_processors.ReLERNN_processor attribute)
,
[1]
(workflow.scripts.ts_processors.SPIDNA_processor attribute)
,
[1]
(workflow.scripts.ts_processors.tskit_sfs attribute)
,
[1]
(workflow.scripts.ts_processors.tskit_windowed_sfs_plus_ld attribute)
,
[1]
(workflow.scripts.ts_simulators.AraTha_2epoch attribute)
(workflow.scripts.ts_simulators.DependentVariablePopulationSize attribute)
(workflow.scripts.ts_simulators.DroMel_CO_FR attribute)
(workflow.scripts.ts_simulators.recombination_rate attribute)
(workflow.scripts.ts_simulators.VariablePopulationSize attribute)
(workflow.scripts.ts_simulators.YRI_CEU attribute)
DependentVariablePopulationSize (class in workflow.scripts.ts_simulators)
DroMel_CO_FR (class in workflow.scripts.ts_simulators)
E
embedding() (workflow.scripts.embedding_networks.SPIDNA_embedding_network method)
(workflow.scripts.embedding_networks.SummaryStatisticsEmbedding method)
ExchangeableCNN (class in workflow.scripts.embedding_networks)
F
forward() (workflow.scripts.embedding_networks.ExchangeableCNN method)
(workflow.scripts.embedding_networks.ReLERNN method)
(workflow.scripts.embedding_networks.RNN method)
(workflow.scripts.embedding_networks.SPIDNA_embedding_network method)
(workflow.scripts.embedding_networks.SPIDNABlock method)
(workflow.scripts.embedding_networks.SummaryStatisticsEmbedding method)
(workflow.scripts.embedding_networks.SymmetricLayer method)
G
genotypes_and_distances (class in workflow.scripts.ts_processors)
,
[1]
M
model (workflow.scripts.ts_simulators.AraTha_2epoch attribute)
R
recombination_rate (class in workflow.scripts.ts_simulators)
ReLERNN (class in workflow.scripts.embedding_networks)
ReLERNN_processor (class in workflow.scripts.ts_processors)
,
[1]
RNN (class in workflow.scripts.embedding_networks)
S
species (workflow.scripts.ts_simulators.AraTha_2epoch attribute)
SPIDNA_embedding_network (class in workflow.scripts.embedding_networks)
SPIDNA_processor (class in workflow.scripts.ts_processors)
,
[1]
SPIDNABlock (class in workflow.scripts.embedding_networks)
SummaryStatisticsEmbedding (class in workflow.scripts.embedding_networks)
SymmetricLayer (class in workflow.scripts.embedding_networks)
T
tskit_sfs (class in workflow.scripts.ts_processors)
,
[1]
tskit_windowed_sfs_plus_ld (class in workflow.scripts.ts_processors)
,
[1]
V
VariablePopulationSize (class in workflow.scripts.ts_simulators)
Y
YRI_CEU (class in workflow.scripts.ts_simulators)