Alternatives and similar repositories for SiGra:

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

• caokai1073 / uniPort
  a unified single-cell data integration framework by optimal transport
  ☆35Updated 5 months ago
• OmicsML / scMoFormer
  Single-Cell Multimodal Prediction via Transformer
  ☆25Updated last year
• theislab / nicheformer
  Repository for Nicheformer: a foundation model for single-cell and spatial omics
  ☆83Updated 2 months ago
• OmicsML / CellPLM
  Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
  ☆78Updated 11 months ago
• jsxlei / scCLIP
  ☆27Updated last year
• wehos / CellT
  An offical repo for paper "Single-cells are Spatial Tokens: Transformers for Spatially Resolved Transcriptomics Data Imputation"
  ☆17Updated last year
• yhchen1123 / CoGO
  CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure
  ☆16Updated 5 months ago
• JiangBioLab / DeepST
  Identify spatial domain
  ☆68Updated last year
• HelloWorldLTY / scEval
  Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.
  ☆64Updated 2 months ago
• xiaoyeye / CCST
  Cell clustering for spatial transcriptomics data with graph neural network
  ☆59Updated last year
• JinmiaoChenLab / SpatialGlue
  SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.
  ☆51Updated 8 months ago
• OSU-BMBL / deepmaps
  Single-cell biological network inference using a heterogeneous graph transformer
  ☆71Updated 3 weeks ago
• JinmiaoChenLab / GraphST
  ☆109Updated last year
• QuKunLab / MultiomeBenchmarking
  ☆42Updated 2 weeks ago
• OmicsML / scDiff
  scDiff: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models
  ☆26Updated 7 months ago
• clinicalml / sc-foundation-eval
  Code for evaluating single cell foundation models scBERT and scGPT
  ☆40Updated 6 months ago
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆38Updated 2 years ago
• ys-zong / conST
  conST: an interpretable multi-modal contrastive learning framework for spatial transcriptomics
  ☆26Updated last year
• zhaofangyuan98 / SDMBench
  ☆32Updated 9 months ago
• kimmo1019 / JAE
  Single cell joint embedding and modality prediction with autoencoder
  ☆9Updated 2 years ago
• mcgilldinglab / scCross
  A Deep Learning-Based Model for the integration, cross-dataset cross-modality generation, self augmentation and matched multi-omics simul…
  ☆14Updated 3 weeks ago
• xianglin226 / Benchmarking-Single-Cell-Perturbation
  Single-Cell (Perturbation) Model Library
  ☆42Updated this week
• TencentAILabHealthcare / scPROTEIN
  ☆50Updated 3 months ago
• JinmiaoChenLab / SEDR
  ☆53Updated 4 months ago
• YangLabHKUST / SpatialScope
  A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models
  ☆61Updated 9 months ago
• OSU-BMBL / scDEAL
  Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data
  ☆52Updated 8 months ago
• kodaim1115 / scMM
  ☆17Updated 3 years ago
• yhr91 / GEARS_misc
  ☆17Updated 5 months ago
• sldyns / scAce
  scAce: an adaptive embedding and clustering method for scRNA-seq data
  ☆11Updated last year