Index _ | B | C | E | F | G | I | L | M | N | P | R | S | T _ __getitem__() (sc_dataset.SCDataset method) __init__() (evaluation.MMD.MMD method) (factory.IGANFactory method) (gans.causal_gan.CausalGAN method) (gans.conditional_gan_cat.ConditionalCatGAN method) (gans.conditional_gan_proj.ConditionalProjGAN method) (gans.gan.GAN method) (layers.cbn.ConditionalBatchNorm method) (layers.lsn.LSN method) (layers.masked_linear.MaskedLinear method) (networks.critic.ConditionalCritic method) (networks.critic.ConditionalCriticProj method) (networks.critic.Critic method) (networks.generator.ConditionalGenerator method) (networks.generator.Generator method) (networks.labeler.Labeler method) (networks.masked_causal_generator.CausalGenerator method) (sc_dataset.SCDataset method) __len__() (sc_dataset.SCDataset method) _abc_impl (factory.CausalGANFactory attribute) (factory.ConditionalCatGANFactory attribute) (factory.ConditionalProjGANFactory attribute) (factory.GANFactory attribute) (factory.IGANFactory attribute) (gans.conditional_gan.ConditionalGAN attribute) (gans.conditional_gan_cat.ConditionalCatGAN attribute) (gans.conditional_gan_proj.ConditionalProjGAN attribute) _add_tensorboard_graph() (gans.gan.GAN method) _backward_cls (layers.masked_linear.MaskedLinearFunction attribute) _backward_hooks (layers.cbn.ConditionalBatchNorm attribute) (layers.lsn.LSN attribute) (layers.masked_linear.MaskedLinear attribute) (networks.critic.ConditionalCritic attribute) (networks.critic.ConditionalCriticProj attribute) (networks.critic.Critic attribute) (networks.generator.ConditionalGenerator attribute) (networks.generator.Generator attribute) (networks.labeler.Labeler attribute) (networks.masked_causal_generator.CausalGenerator attribute) _buffers (layers.cbn.ConditionalBatchNorm attribute) (layers.lsn.LSN attribute) (layers.masked_linear.MaskedLinear attribute) (networks.critic.ConditionalCritic attribute) (networks.critic.ConditionalCriticProj attribute) (networks.critic.Critic attribute) (networks.generator.ConditionalGenerator attribute) (networks.generator.Generator attribute) (networks.labeler.Labeler attribute) (networks.masked_causal_generator.CausalGenerator attribute) _build_model() (gans.causal_gan.CausalGAN method) (gans.conditional_gan_cat.ConditionalCatGAN method) (gans.conditional_gan_proj.ConditionalProjGAN method) (gans.gan.GAN method) _cat_one_hot_labels() (gans.conditional_gan_cat.ConditionalCatGAN method) _create_critic() (networks.critic.ConditionalCritic method) (networks.critic.ConditionalCriticProj method) (networks.critic.Critic method) _create_critic_block() (networks.critic.Critic static method) _create_generator() (networks.generator.ConditionalGenerator method) (networks.generator.Generator method) (networks.masked_causal_generator.CausalGenerator method) _create_generator_block() (networks.generator.ConditionalGenerator static method) (networks.generator.Generator static method) (networks.masked_causal_generator.CausalGenerator method) _create_labeler() (networks.labeler.Labeler method) (networks.masked_causal_generator.CausalGenerator method) _critic_loss() (gans.gan.GAN static method) _forward_hooks (layers.cbn.ConditionalBatchNorm attribute) (layers.lsn.LSN attribute) (layers.masked_linear.MaskedLinear attribute) (networks.critic.ConditionalCritic attribute) (networks.critic.ConditionalCriticProj attribute) (networks.critic.Critic attribute) (networks.generator.ConditionalGenerator attribute) (networks.generator.Generator attribute) (networks.labeler.Labeler attribute) (networks.masked_causal_generator.CausalGenerator attribute) _forward_pre_hooks (layers.cbn.ConditionalBatchNorm attribute) (layers.lsn.LSN attribute) (layers.masked_linear.MaskedLinear attribute) (networks.critic.ConditionalCritic attribute) (networks.critic.ConditionalCriticProj attribute) (networks.critic.Critic attribute) (networks.generator.ConditionalGenerator attribute) (networks.generator.Generator attribute) (networks.labeler.Labeler attribute) (networks.masked_causal_generator.CausalGenerator attribute) _generate_noise() (gans.gan.GAN static method) _generate_tsne_plot() (gans.conditional_gan.ConditionalGAN method) (gans.gan.GAN method) _generator_loss() (gans.gan.GAN static method) _get_gradient() (gans.conditional_gan_cat.ConditionalCatGAN method) (gans.conditional_gan_proj.ConditionalProjGAN method) (gans.gan.GAN method) _get_loaders() (gans.gan.GAN method) _gradient_penalty() (gans.gan.GAN static method) _is_full_backward_hook (layers.cbn.ConditionalBatchNorm attribute) (layers.lsn.LSN attribute) (layers.masked_linear.MaskedLinear attribute) (networks.critic.ConditionalCritic attribute) (networks.critic.ConditionalCriticProj attribute) (networks.critic.Critic attribute) (networks.generator.ConditionalGenerator attribute) (networks.generator.Generator attribute) (networks.labeler.Labeler attribute) (networks.masked_causal_generator.CausalGenerator attribute) _load() (gans.causal_gan.CausalGAN method) (gans.gan.GAN method) _load_state_dict_post_hooks (layers.cbn.ConditionalBatchNorm attribute) (layers.lsn.LSN attribute) (layers.masked_linear.MaskedLinear attribute) (networks.critic.ConditionalCritic attribute) (networks.critic.ConditionalCriticProj attribute) (networks.critic.Critic attribute) (networks.generator.ConditionalGenerator attribute) (networks.generator.Generator attribute) (networks.labeler.Labeler attribute) (networks.masked_causal_generator.CausalGenerator attribute) _load_state_dict_pre_hooks (layers.cbn.ConditionalBatchNorm attribute) (layers.lsn.LSN attribute) (layers.masked_linear.MaskedLinear attribute) (networks.critic.ConditionalCritic attribute) (networks.critic.ConditionalCriticProj attribute) (networks.critic.Critic attribute) (networks.generator.ConditionalGenerator attribute) (networks.generator.Generator attribute) (networks.labeler.Labeler attribute) (networks.masked_causal_generator.CausalGenerator attribute) _modules (layers.cbn.ConditionalBatchNorm attribute) (layers.lsn.LSN attribute) (layers.masked_linear.MaskedLinear attribute) (networks.critic.ConditionalCritic attribute) (networks.critic.ConditionalCriticProj attribute) (networks.critic.Critic attribute) (networks.generator.ConditionalGenerator attribute) (networks.generator.Generator attribute) (networks.labeler.Labeler attribute) (networks.masked_causal_generator.CausalGenerator attribute) _non_persistent_buffers_set (layers.cbn.ConditionalBatchNorm attribute) (layers.lsn.LSN attribute) (layers.masked_linear.MaskedLinear attribute) (networks.critic.ConditionalCritic attribute) (networks.critic.ConditionalCriticProj attribute) (networks.critic.Critic attribute) (networks.generator.ConditionalGenerator attribute) (networks.generator.Generator attribute) (networks.labeler.Labeler attribute) (networks.masked_causal_generator.CausalGenerator attribute) _parameters (layers.cbn.ConditionalBatchNorm attribute) (layers.lsn.LSN attribute) (layers.masked_linear.MaskedLinear attribute) (networks.critic.ConditionalCritic attribute) (networks.critic.ConditionalCriticProj attribute) (networks.critic.Critic attribute) (networks.generator.ConditionalGenerator attribute) (networks.generator.Generator attribute) (networks.labeler.Labeler attribute) (networks.masked_causal_generator.CausalGenerator attribute) _sample_pseudo_labels() (gans.conditional_gan.ConditionalGAN static method) _save() (gans.causal_gan.CausalGAN method) (gans.gan.GAN method) _set_exponential_lr() (gans.gan.GAN static method) _state_dict_hooks (layers.cbn.ConditionalBatchNorm attribute) (layers.lsn.LSN attribute) (layers.masked_linear.MaskedLinear attribute) (networks.critic.ConditionalCritic attribute) (networks.critic.ConditionalCriticProj attribute) (networks.critic.Critic attribute) (networks.generator.ConditionalGenerator attribute) (networks.generator.Generator attribute) (networks.labeler.Labeler attribute) (networks.masked_causal_generator.CausalGenerator attribute) _train_critic() (gans.conditional_gan_cat.ConditionalCatGAN method) (gans.conditional_gan_proj.ConditionalProjGAN method) (gans.gan.GAN method) _train_generator() (gans.causal_gan.CausalGAN method) (gans.conditional_gan_cat.ConditionalCatGAN method) (gans.conditional_gan_proj.ConditionalProjGAN method) (gans.gan.GAN method) _train_labelers() (gans.causal_gan.CausalGAN method) _update_tensorboard() (gans.gan.GAN method) B backward() (layers.masked_linear.MaskedLinearFunction static method) C CausalGAN (class in gans.causal_gan) CausalGANFactory (class in factory) CausalGenerator (class in networks.masked_causal_generator) compute() (evaluation.MMD.MMD method) compute_distances() (in module evaluation.data_quality) compute_lisi() (in module evaluation.lisi) compute_PR() (in module evaluation.grn_inference) compute_precision_at_k() (in module evaluation.grn_inference) compute_RF_AUROC() (in module evaluation.data_quality) compute_simpson() (in module evaluation.lisi) ConditionalBatchNorm (class in layers.cbn) ConditionalCatGAN (class in gans.conditional_gan_cat) ConditionalCatGANFactory (class in factory) ConditionalCritic (class in networks.critic) ConditionalCriticProj (class in networks.critic) ConditionalGAN (class in gans.conditional_gan) ConditionalGenerator (class in networks.generator) ConditionalProjGAN (class in gans.conditional_gan_proj) ConditionalProjGANFactory (class in factory) create_GRN() (in module preprocessing.grn_creation) Critic (class in networks.critic) custom_parser module E evaluate() (in module evaluation.data_quality) (in module evaluation.grn_inference) evaluation module evaluation.data_quality module evaluation.grn_inference module evaluation.lisi module evaluation.MMD module extra_repr() (layers.masked_linear.MaskedLinear method) F factory module forward() (layers.cbn.ConditionalBatchNorm method) (layers.lsn.LSN method) (layers.masked_linear.MaskedLinear method) (layers.masked_linear.MaskedLinearFunction static method) (networks.critic.ConditionalCritic method) (networks.critic.ConditionalCriticProj method) (networks.critic.Critic method) (networks.generator.ConditionalGenerator method) (networks.generator.Generator method) (networks.labeler.Labeler method) (networks.masked_causal_generator.CausalGenerator method) freeze_causal_controller() (networks.masked_causal_generator.CausalGenerator method) G GAN (class in gans.gan) GANFactory (class in factory) gans module gans.causal_gan module gans.conditional_gan module gans.conditional_gan_cat module gans.conditional_gan_proj module gans.gan module gaussian_kernel() (evaluation.MMD.MMD method) generate_cells() (gans.conditional_gan_cat.ConditionalCatGAN method) (gans.conditional_gan_proj.ConditionalProjGAN method) (gans.gan.GAN method) Generator (class in networks.generator) get_argparser() (in module custom_parser) get_cc() (factory.CausalGANFactory method) get_configparser() (in module custom_parser) get_factory() (in module factory) get_fake_grn() (in module evaluation.grn_inference) get_gan() (factory.CausalGANFactory method) (factory.ConditionalCatGANFactory method) (factory.ConditionalProjGANFactory method) (factory.GANFactory method) (factory.IGANFactory method) get_imposed_grn() (in module evaluation.grn_inference) get_loader() (in module sc_dataset) (in module tfrecord_loader) get_trainer() (factory.CausalGANFactory method) (factory.ConditionalCatGANFactory method) (factory.ConditionalProjGANFactory method) (factory.GANFactory method) (factory.IGANFactory method) I IGANFactory (class in factory) L Labeler (class in networks.labeler) layers module layers.cbn module layers.lsn module layers.masked_linear module LSN (class in layers.lsn) M main module MaskedLinear (class in layers.masked_linear) MaskedLinearFunction (class in layers.masked_linear) MMD (class in evaluation.MMD) module custom_parser evaluation evaluation.data_quality evaluation.grn_inference evaluation.lisi evaluation.MMD factory gans gans.causal_gan gans.conditional_gan gans.conditional_gan_cat gans.conditional_gan_proj gans.gan layers layers.cbn layers.lsn layers.masked_linear main networks networks.critic networks.generator networks.labeler networks.masked_causal_generator perturbation perturbation.perturbation preprocessing preprocessing.grn_creation preprocessing.preprocess sc_dataset tfrecord_loader N networks module networks.critic module networks.generator module networks.labeler module networks.masked_causal_generator module P parse_list() (in module factory) perturb() (in module perturbation.perturbation) perturbation module perturbation.perturbation module plot_tSNE() (in module evaluation.data_quality) plot_UMAP() (in module perturbation.perturbation) preprocess() (in module preprocessing.preprocess) preprocessing module preprocessing.grn_creation module preprocessing.preprocess module R read_datasets() (in module evaluation.data_quality) reapply_mask() (layers.masked_linear.MaskedLinear method) reset_parameters() (layers.masked_linear.MaskedLinear method) S sc_dataset module SCDataset (class in sc_dataset) squaredDistance() (evaluation.MMD.MMD method) T tfrecord_loader module train() (gans.causal_gan.CausalGAN method) (gans.gan.GAN method) training (layers.cbn.ConditionalBatchNorm attribute) (layers.lsn.LSN attribute) (layers.masked_linear.MaskedLinear attribute) (networks.critic.ConditionalCritic attribute) (networks.critic.ConditionalCriticProj attribute) (networks.critic.Critic attribute) (networks.generator.ConditionalGenerator attribute) (networks.generator.Generator attribute) (networks.labeler.Labeler attribute) (networks.masked_causal_generator.CausalGenerator attribute)
