Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
I
|
L
|
M
|
N
|
P
|
R
|
S
|
T
|
V
|
W
|
X
|
Z
|
Α
|
Β
|
Φ
A
add_eval_loss() (multidms.model_collection.ModelCollection method)
(multidms.ModelCollection method)
add_phenotypes_to_df() (multidms.Model method)
(multidms.model.Model method)
all_mutations (multidms.model_collection.ModelCollection property)
(multidms.ModelCollection property)
arrays (multidms.Data property)
(multidms.data.Data property)
B
binarymaps (multidms.Data property)
(multidms.data.Data property)
bundle_idxs (multidms.Data property)
(multidms.data.Data property)
C
color_gradient_hex() (in module multidms.plot)
conditions (multidms.Data property)
(multidms.data.Data property)
(multidms.model_collection.ModelCollection property)
(multidms.ModelCollection property)
converged (multidms.Model property)
(multidms.model.Model property)
convergence_trajectory_df (multidms.Model property)
(multidms.model.Model property)
convergence_trajectory_df() (multidms.model_collection.ModelCollection method)
(multidms.ModelCollection method)
convert_subs_wrt_ref_seq() (multidms.Data method)
(multidms.data.Data method)
count_loss() (in module multidms.jaxmodels)
D
Data (class in multidms)
(class in multidms.data)
(class in multidms.jaxmodels)
data (multidms.Model property)
(multidms.model.Model property)
difference_matrix() (in module multidms.utils)
E
eval_loss() (multidms.Model method)
(multidms.model.Model method)
explode_params_dict() (in module multidms.utils)
F
fit() (in module multidms.jaxmodels)
(multidms.Model method)
(multidms.model.Model method)
fit_models() (in module multidms)
(in module multidms.model_collection)
fit_one_model() (in module multidms.model_collection)
from_multidms() (multidms.jaxmodels.Data static method)
from_params() (multidms.jaxmodels.Latent static method)
functional_score_loss() (in module multidms.jaxmodels)
functional_scores (multidms.jaxmodels.Data attribute)
G
ge_landscape() (in module multidms.plot)
get_ge_curve() (multidms.Model method)
(multidms.model.Model method)
get_ge_landscape_df() (multidms.Model method)
(multidms.model.Model method)
get_mutations_df() (multidms.Model method)
(multidms.model.Model method)
get_variants_df() (multidms.Model method)
(multidms.model.Model method)
global_epistasis (multidms.jaxmodels.Model attribute)
GlobalEpistasis (class in multidms.jaxmodels)
I
Identity (class in multidms.jaxmodels)
L
Latent (class in multidms.jaxmodels)
logθ (multidms.jaxmodels.Model attribute)
loss_df() (multidms.model_collection.ModelCollection method)
(multidms.ModelCollection method)
M
Model (class in multidms)
(class in multidms.jaxmodels)
(class in multidms.model)
ModelCollection (class in multidms)
(class in multidms.model_collection)
ModelCollectionFitError
module
multidms
multidms.data
multidms.jaxmodels
multidms.model
multidms.model_collection
multidms.plot
multidms.utils
multidms
module
multidms.data
module
multidms.jaxmodels
module
multidms.model
module
multidms.model_collection
module
multidms.plot
module
multidms.utils
module
mut_param_dataset_correlation() (multidms.model_collection.ModelCollection method)
(multidms.ModelCollection method)
mut_param_heatmap() (multidms.model_collection.ModelCollection method)
(multidms.ModelCollection method)
mut_param_traceplot() (multidms.model_collection.ModelCollection method)
(multidms.ModelCollection method)
mutations (multidms.Data property)
(multidms.data.Data property)
mutations_df (multidms.Data property)
(multidms.data.Data property)
mutparser (multidms.Data property)
(multidms.data.Data property)
my_concat() (in module multidms.utils)
N
name (multidms.Data property)
(multidms.data.Data property)
non_identical_mutations (multidms.Data property)
(multidms.data.Data property)
non_identical_sites (multidms.Data property)
(multidms.data.Data property)
P
params (multidms.Model property)
(multidms.model.Model property)
parse_mut (multidms.Data property)
(multidms.data.Data property)
parse_muts (multidms.Data property)
(multidms.data.Data property)
plot_func_score_boxplot() (multidms.Data method)
(multidms.data.Data method)
plot_times_seen_hist() (multidms.Data method)
(multidms.data.Data method)
post_count_wt (multidms.jaxmodels.Data attribute)
post_counts (multidms.jaxmodels.Data attribute)
pre_count_wt (multidms.jaxmodels.Data attribute)
pre_counts (multidms.jaxmodels.Data attribute)
predict_post_count() (multidms.jaxmodels.Model method)
predict_score() (multidms.jaxmodels.Model method)
R
reference (multidms.Data property)
(multidms.data.Data property)
(multidms.model_collection.ModelCollection property)
(multidms.ModelCollection property)
reference_condition (multidms.jaxmodels.Model attribute)
reference_index (multidms.Data property)
(multidms.data.Data property)
reference_sequence_conditions (multidms.Data property)
(multidms.data.Data property)
S
shared_mutations (multidms.model_collection.ModelCollection property)
(multidms.ModelCollection property)
shift_sparsity() (multidms.model_collection.ModelCollection method)
(multidms.ModelCollection method)
Sigmoid (class in multidms.jaxmodels)
single_mut_encodings (multidms.Data property)
(multidms.data.Data property)
site_map (multidms.Data property)
(multidms.data.Data property)
site_map_union (multidms.model_collection.ModelCollection property)
(multidms.ModelCollection property)
split_apply_combine_muts() (multidms.model_collection.ModelCollection method)
(multidms.ModelCollection method)
split_sub() (in module multidms.utils)
split_subs() (in module multidms.utils)
stack_fit_models() (in module multidms.model_collection)
T
targets (multidms.Data property)
(multidms.data.Data property)
training_loss (multidms.Model property)
(multidms.model.Model property)
transform() (in module multidms.utils)
V
variants_df (multidms.Data property)
(multidms.data.Data property)
W
warmstart() (multidms.jaxmodels.Latent static method)
wildtype_latent (multidms.Model property)
(multidms.model.Model property)
X
X (multidms.jaxmodels.Data attribute)
x_wt (multidms.jaxmodels.Data attribute)
Z
zeros() (multidms.jaxmodels.Latent static method)
Α
α (multidms.jaxmodels.Model attribute)
Β
β (multidms.jaxmodels.Latent attribute)
β0 (multidms.jaxmodels.Latent attribute)
Φ
φ (multidms.jaxmodels.Model attribute)
multidms
Navigation
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Contents
Installation
Biophysical Model
Simulation Validation
Fit Delta BA.1 Example
multidms package
Acknowledgments
Contributing
Changelog
Simulation Analysis
Simulation Data Generation
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Cross-Validation
Simulation Manuscript Figures
Spike Analysis
Spike Data Preparation
Model Fitting
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