Index

_

__format__() (celldisect.utils.LOSS_KEYS method) (celldisect.utils.TRAIN_MODE method)

__init__() (celldisect.CellDISECT method) (celldisect.PerturbationEmbedding method)

A

ACCURACY (celldisect.utils.LOSS_KEYS attribute) add_cluster_covariate() (celldisect.CellDISECT class method), [1] add_perturbation() (celldisect.PerturbationEmbedding method), [1]

add_perturbation_embedding() (celldisect.CellDISECT method), [1] adv_classifier_metrics() (celldisect.trainingplan.CellDISECTTrainingPlan method) ADVERSARIAL (celldisect.utils.TRAIN_MODE attribute) AnnDataSplitter (class in celldisect.data)

B

build_perturbation_embedding_matrix() (in module celldisect.utils)

C

celldisect module CellDISECT (class in celldisect) celldisect._model module celldisect._module module celldisect.data module

celldisect.trainingplan module, [1] celldisect.utils module CellDISECTTrainingPlan (class in celldisect.trainingplan) CLASSIFICATION (celldisect.utils.TRAIN_MODE attribute) CLASSIFICATION_LOSS (celldisect.utils.LOSS_KEYS attribute) compute_and_log_metrics() (celldisect.trainingplan.CellDISECTTrainingPlan method) configure_optimizers() (celldisect.trainingplan.CellDISECTTrainingPlan method)

F

F1 (celldisect.utils.LOSS_KEYS attribute)

forward() (celldisect.PerturbationEmbedding method) (celldisect.utils.PerturbationNetwork method)

G

generate (celldisect.CellDISECT attribute) generate() (celldisect.CellDISECT method) get_cat_covariate_latents (celldisect.CellDISECT attribute) get_cat_covariate_latents() (celldisect.CellDISECT method)

get_gene_importance (celldisect.CellDISECT attribute) get_gene_importance() (celldisect.CellDISECT method) get_latent_representation (celldisect.CellDISECT attribute) get_latent_representation() (celldisect.CellDISECT method) get_perturbation_embeddings() (celldisect.CellDISECT method), [1]

I

initialize_train_metrics() (celldisect.trainingplan.CellDISECTTrainingPlan method)

initialize_val_metrics() (celldisect.trainingplan.CellDISECTTrainingPlan method)

K

KL_Z (celldisect.utils.LOSS_KEYS attribute) (celldisect.utils.TRAIN_MODE attribute)

L

LOSS (celldisect.utils.LOSS_KEYS attribute)

LOSS_KEYS (class in celldisect.utils)

M

module celldisect celldisect._model celldisect._module celldisect.data celldisect.trainingplan, [1] celldisect.utils

O

on_train_epoch_end() (celldisect.trainingplan.CellDISECTTrainingPlan method)

on_validation_epoch_end() (celldisect.trainingplan.CellDISECTTrainingPlan method) one_hot_cat() (in module celldisect.utils)

P

parse_perturbation() (in module celldisect.utils) perturbation_metrics() (in module celldisect.utils) PerturbationEmbedding (class in celldisect) PerturbationNetwork (class in celldisect.utils) predict_counterfactuals (celldisect.CellDISECT attribute)

predict_counterfactuals() (celldisect.CellDISECT method) predict_given_covs_depricated (celldisect.CellDISECT attribute) predict_perturbation (celldisect.CellDISECT attribute) predict_perturbation() (celldisect.CellDISECT method) predict_perturbations (celldisect.CellDISECT attribute) predict_perturbations() (celldisect.CellDISECT method)

R

rebuild_for_mapping() (celldisect.PerturbationEmbedding method), [1] RECONST (celldisect.utils.TRAIN_MODE attribute)

RECONST_CF (celldisect.utils.TRAIN_MODE attribute) RECONST_LOSS_X (celldisect.utils.LOSS_KEYS attribute) RECONST_LOSS_X_CF (celldisect.utils.LOSS_KEYS attribute)

S

setup() (celldisect.data.AnnDataSplitter method)

setup_anndata() (celldisect.CellDISECT class method), [1]

T

test_dataloader() (celldisect.data.AnnDataSplitter method) train() (celldisect.CellDISECT method), [1] train_dataloader() (celldisect.data.AnnDataSplitter method)

TRAIN_MODE (class in celldisect.utils) training_step() (celldisect.trainingplan.CellDISECTTrainingPlan method) trainingplan (in module celldisect)

V

val_dataloader() (celldisect.data.AnnDataSplitter method)

validate_perturbation_embeddings() (in module celldisect.utils) validation_step() (celldisect.trainingplan.CellDISECTTrainingPlan method)

W

weight (celldisect.PerturbationEmbedding property), [1]