Alternatives and similar repositories for SpatialCTD

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

• KlugerLab / SIMVI
  ☆15Updated 7 months ago
• QuKunLab / MultiomeBenchmarking
  ☆51Updated 11 months ago
• YangLabHKUST / Portal
  Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets
  ☆32Updated 2 years ago
• vandijklab / CINEMA-OT
  ☆36Updated 9 months ago
• Philyzh8 / scMGCA
  "Topological Identification and Interpretation for Single-cell Gene Regulation Elucidation across Multiple Platforms using scMGCA" in Nat…
  ☆16Updated 3 years ago
• PYangLab / Matilda
  Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…
  ☆22Updated 8 months ago
• jlakkis / sciPENN
  ☆18Updated 3 years ago
• mcgilldinglab / CellAgentChat
  Python agent-based model tool for inference, visualization and analysis of cell-cell communication from single-cell data
  ☆35Updated 2 months ago
• suinleelab / contrastiveVI
  ☆60Updated last year
• JiangBioLab / DeepTalk
  Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional…
  ☆27Updated last year
• BioX-NKU / scButterfly
  A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders
  ☆28Updated last year
• davidliwei / PS
  Perturbation-response Score (PS) analysis is a method to quantify diverse perturbation responses and discover novel biological insights i…
  ☆17Updated last year
• huidongchen / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆20Updated last month
• ZJUFanLab / scRank
  A computational method to rank and infer drug-responsive cell population towards in-silico drug perturbation using a target-perturbed gen…
  ☆64Updated 3 months ago
• xianglin226 / scMDC
  Single Cell Multi-omics deep clustering
  ☆28Updated 7 months ago
• DLS5-Omics / CellNavi
  CellNavi is a deep learning framework designed to predict genes driving cellular transitions.
  ☆45Updated 11 months ago
• bowang-lab / DeepVelo
  ☆48Updated 2 years ago
• theislab / scib-reproducibility
  Additional code and analysis from the single-cell integration benchmarking project
  ☆71Updated 3 years ago
• QihuangZhang / CeLEry
  CeLEry: cell location recovery in single-cell RNA sequencing
  ☆37Updated 11 months ago
• bm2-lab / scMVP
  ☆34Updated 9 months ago
• mcgilldinglab / scSemiProfiler
  A computational method scSemiProfiler that provides affordable single-cell data for large-scale disease cohorts using deep generative mod…
  ☆26Updated 8 months ago
• OSU-BMBL / scDEAL
  Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data
  ☆59Updated last year
• leihouyeung / STdeconv_benchmark
  The benchmarking of spatial transcriptomics deconvolution methods
  ☆34Updated 2 years ago
• welch-lab / VeloVAE
  Deep Generative Modeling of RNA Velocity
  ☆37Updated 3 months ago
• mcgilldinglab / scCross
  A Deep Learning-Based Model for the integration, cross-dataset cross-modality generation, self augmentation and matched multi-omics simul…
  ☆16Updated 5 months ago
• StatBiomed / SpatialDM
  Spatial direct messaging detected by bivariate Moran
  ☆32Updated 6 months ago
• datapplab / AutoClass
  ☆43Updated 3 years ago
• SmritiChawla / Precily
  ☆35Updated 3 years ago
• cliffren / PENCIL
  PENCIL is a novel tool for singlecell data analysis to identify phenotype associated subpopulations and informative genes simultaneously.
  ☆28Updated 2 years ago
• tabdelaal / SpaGE
  Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data
  ☆41Updated last year