alignment_score | Computes alignment score |
as.SingleCellExperimentList | Converts a list of Seurat objects into a list of Single Cell... |
cellbench | CellBench data for benchmarking |
compute_kernel_matrix | Computes kernel matrix |
decoder_large | Network large |
decoder_medium | Network medium |
decoderModel_add_mse_loss | Convert embedding to logit scores |
decoderModel_calc_projection | Compute projections for complete data after training |
decoderModel_create_train_op | Builds training operation |
decoderModel_emb_to_proj | Compute projection for mini-batch |
decoderModel_train_decoder | decoder for scAlign |
decoder_small | Network small |
DecoderVariance | Creates a 2d array of variance values calculated across the... |
define_kernel_matrix | define kernel matrix |
dot-check_all_args | Check arguments |
dot-check_tensorflow | Check tf install |
dot-data_setup | Sets data |
dot-early_stop | Perform early stopping |
dot-is.wholenumber | Check for whole number |
dot-learning_rate | Sets the learning rate for optimizer |
dot-plotTSNE | Creates tsne plot |
encoder_large | Network large |
encoder_medium | Network medium |
encoderModel_add_logit_loss | Add classifier loss component |
encoderModel_add_semisup_loss_data_driven | Add walker loss component |
encoderModel_calc_embedding | Compute embedding for complete data after training |
encoderModel_calc_logit | Compute embedding for complete data after training |
encoderModel_create_train_op | Builds training operation |
encoderModel_data_to_embedding | Compute embedding for mini-batch |
encoderModel_embedding_to_logit | Convert embedding to logit scores |
encoderModel_gaussian_kernel | Guassian kernel |
encoderModel_train_encoder | encoder for scAlign |
encoderModel_train_encoder_multi | encoder for scAlign |
encoder_small | Network small |
ExtractGenes | Extracts common set of genes across all datasets |
gaussianKernel | Computes gaussian kernel matrix |
GetCharMetadata | Fetch metadata as a character vector |
GetCrit | Seurat V2 MultiCCA |
l2n | Seurat V2 MultiCCA |
MeanDecoderVariance | Calculate mean decoder variance |
PlotTSNE | Creates tsne plot |
RunMultiCCA | Seurat V2 MultiCCA |
scAlign | Run scAlign framework |
scAlignArguments | Record aguments passed to scAlign |
scAlignCreateObject | Creates scAlign object |
scAlignMulti | Run scAlignMultiway alignment |
scAlignOptions | Set training options |
SelectColors | Creates a list of unique color values used for plotting |
UpdateW | Seurat V2 MultiCCA |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.