Alternatives and similar repositories for TAPE

Users that are interested in TAPE are comparing it to the libraries listed below

• bm2-lab / scMVP
  ☆32Updated 3 months ago
• YangLabHKUST / SpatialScope
  A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models
  ☆69Updated last year
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆39Updated 3 years ago
• tabdelaal / SpaGE
  Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data
  ☆36Updated last year
• jianhuupenn / ItClust
  Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis
  ☆54Updated 2 months ago
• JinmiaoChenLab / SpatialGlue
  SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.
  ☆66Updated last year
• ttgump / spaVAE
  Dependency-aware deep generative models for multitasking analysis of spatial genomics data
  ☆35Updated last year
• OSU-BMBL / scDEAL
  Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data
  ☆55Updated last year
• QSong-github / scGCN
  scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
  ☆41Updated 3 years ago
• OSU-BMBL / deepmaps
  Single-cell biological network inference using a heterogeneous graph transformer
  ☆73Updated 5 months ago
• jsxlei / SCALEX
  Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space
  ☆79Updated last month
• mexchy1000 / CellDART
  domain adaptation of spatial and single-cell transcriptome
  ☆27Updated 10 months ago
• drieslab / spatial-datasets
  overview of spatial datasets
  ☆75Updated last year
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆43Updated 2 years ago
• QuKunLab / SpatialBenchmarking
  ☆122Updated 3 years ago
• yzf072 / spaTrack
  An optimal transport-based algorithm for inferring cell trajectories of spatial transcriptomics.
  ☆26Updated 4 months ago
• pinellolab / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆63Updated 9 months ago
• nitzanlab / biolord
  ☆80Updated 11 months ago
• romain-lopez / DestVI-reproducibility
  Reproducing the experiments of the DestVI paper
  ☆19Updated 3 years ago
• labomics / midas
  ☆60Updated last week
• raphael-group / paste
  Probabilistic Alignment of Spatial Transcriptomics Experiments
  ☆89Updated 5 months ago
• jsxlei / SCALE
  Single-cell ATAC-seq analysis via Latent feature Extraction
  ☆102Updated last year
• theislab / scib-reproducibility
  Additional code and analysis from the single-cell integration benchmarking project
  ☆66Updated 2 years ago
• ZJUFanLab / scDeepSort
  Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
  ☆103Updated 2 years ago
• suinleelab / contrastiveVI
  ☆55Updated last year
• JackieHanLab / TOSICA
  Transformer for One-Stop Interpretable Cell-type Annotation
  ☆143Updated last year
• Durenlab / LINGER
  ☆111Updated 2 months ago
• ZhangLabGT / scMultiSim
  A simulator for single cell multi-omics and spatial omics data that provides ground truth to benchmark a wide range of methods.
  ☆57Updated 7 months ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆50Updated 3 years ago
• SydneyBioX / scJoint
  ☆60Updated 2 years ago