Alternatives and similar repositories for SpatialEntropy

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

• ZigaSajovic / Consensus_Clustering
  An implementation of Consensus clustering in Python
  ☆62Updated last year
• Teichlab / celcomen
  ☆15Updated 3 weeks ago
• yuanzhiyuan / MENDER
  ☆12Updated last year
• suinleelab / contrastiveVI
  ☆55Updated last year
• KrishnaswamyLab / Multiscale_PHATE
  Creating multi-resolution embeddings and clusters from high dimensional data
  ☆54Updated 10 months ago
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆60Updated 4 years ago
• andrewcharlesjones / spatial-alignment
  Alignment of spatial genomics data using deep Gaussian processes
  ☆27Updated 2 years ago
• GaoLabXDU / MultiOmicsIntegrationStudy
  Experimental evaluation and comparison of multi-omics data integration methods for cancer subtyping
  ☆14Updated 3 years ago
• flatironinstitute / st_gridnet
  A Python implementation of the model described in our publication "A convolutional neural network for common-coordinate registration of h…
  ☆25Updated 3 years ago
• txWang / BERMUDA
  BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.
  ☆31Updated 5 years ago
• camlab-bioml / astir
  astir | Automated cell identity from single-cell multiplexed imaging and proteomics 🖥🔬✨
  ☆53Updated last month
• AltschulerWu-Lab / MUSE
  MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states f…
  ☆34Updated 3 years ago
• labsyspharm / CRC_atlas_2022
  ☆16Updated 4 months ago
• CaiGroup / seqFISH-PLUS
  ☆52Updated 4 years ago
• feiyoung / PRECAST
  an efficient data integration method for multiple spatial transcriptomics data with non- cluster-relevant effects such as the complex batc…
  ☆11Updated last year
• MICS-Lab / novae
  Graph-based foundation model for spatial transcriptomics data. Zero-shot spatial domain inference, batch-effect correction, and many othe…
  ☆51Updated last week
• BodenmillerGroup / SCPathology_publication
  The Single-Cell Pathology Landscape of Breast Cancer
  ☆27Updated 5 years ago
• uhlerlab / cross-modal-autoencoders
  ☆55Updated 2 years ago
• biocompibens / pySpacell
  A Python package for single-cell spatial image analysis.
  ☆18Updated last year
• ElementoLab / utag
  ☆38Updated last year
• BiomedicalMachineLearning / Spacell
  ☆26Updated 5 years ago
• jianhuupenn / ItClust
  Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis
  ☆54Updated 2 months ago
• wanglab-broad / ClusterMap
  ClusterMap for multi-scale clustering analysis of spatial gene expression
  ☆46Updated last month
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 4 years ago
• bioFAM / mofapy2
  Multi-omics factor analysis v2
  ☆47Updated 9 months ago
• ratschlab / DeepSpot
  DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images
  ☆53Updated 2 weeks ago
• bioFAM / mofax
  Work with trained factor models in Python
  ☆33Updated 9 months ago
• PMBio / SpatialDE
  Test genes for Spatial Variation
  ☆14Updated 7 months ago
• cantinilab / Mowgli
  Single-cell multi-omics integration using Optimal Transport
  ☆46Updated 11 months ago
• Mr-Milk / SpatialTis
  Spatial analysis toolkit for single cell multiplexed tissue data
  ☆30Updated 11 months ago