Alternatives and similar repositories for FISHFactor

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

• camlab-bioml / astir
  astir | Automated cell identity from single-cell multiplexed imaging and proteomics 🖥🔬✨
  ☆53Updated last month
• klarman-cell-observatory / PowerAnalysisForSpatialOmics
  ☆27Updated 10 months ago
• PMBio / SpatialDE
  Test genes for Spatial Variation
  ☆14Updated 7 months ago
• haotianteng / FICT
  FISH Iterative Cell Typing
  ☆11Updated last year
• wanglab-broad / CAST
  CAST package
  ☆40Updated 9 months ago
• BiomedicalMachineLearning / Spacell
  ☆26Updated 5 years ago
• willtownes / nsf-paper
  Nonnegative spatial factorization for multivariate count data
  ☆58Updated 2 years ago
• shuxiaoc / mario-py
  MARIO: single-cell proteomic data matching and integration using both shared and distinct features
  ☆22Updated last year
• ma-compbio / SpiceMix
  spatial transcriptome, single cell
  ☆68Updated 2 years ago
• andrewcharlesjones / spatial-alignment
  Alignment of spatial genomics data using deep Gaussian processes
  ☆27Updated 2 years ago
• ratschlab / scim
  Code for Universal Single-Cell Matching with Unpaired Feature Sets
  ☆21Updated 4 years ago
• zcang / SpaOTsc
  ☆45Updated 2 weeks ago
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• berenslab / umi-normalization
  Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Gen…
  ☆40Updated 3 years ago
• dylkot / scsim
  Simulate single-cell RNA-SEQ data using the Splatter statistical framework but implemented in python. In addition, simulate doublet cells…
  ☆27Updated 3 years ago
• doraadong / UNIFAN
  Unsupervised cell functional annotation for single-cell RNA-Seq
  ☆22Updated 2 years ago
• LouisFaure / scFates
  a scalable python suite for tree inference and advanced pseudotime analysis from scRNAseq data.
  ☆58Updated last month
• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆75Updated 7 months ago
• bioFAM / mofax
  Work with trained factor models in Python
  ☆33Updated 9 months ago
• KenLauLab / DR-structure-preservation
  A quantitative framework for evaluating data structure preservation by dimensionality reduction techniques
  ☆16Updated 4 years ago
• scverse / spatialdata-notebooks
  ☆54Updated this week
• calico / velodyn
  Dynamical systems methods for RNA velocity analysis
  ☆24Updated 4 years ago
• KrishnaswamyLab / MELD
  Quantifying experimental perturbations at single cell resolution
  ☆109Updated 10 months ago
• theislab / scTab
  ☆59Updated 10 months ago
• jkobject / scDataLoader
  a dataloader to work with large single cell datasets from lamindb
  ☆29Updated last month
• willtownes / spatial-factorization-py
  Probabilistic factor models for spatially correlated data. Includes nonnegative and real-valued versions.
  ☆16Updated 8 months ago
• raphael-group / paste2
  Probabilistic Alignment of Spatial Transcriptomics Experiments v.2
  ☆37Updated 5 months ago
• cantinilab / Mowgli
  Single-cell multi-omics integration using Optimal Transport
  ☆46Updated 11 months ago
• StatBiomed / SpatialDM
  Spatial direct messaging detected by bivariate Moran
  ☆27Updated 3 weeks ago
• scverse / squidpy_notebooks
  Tutorials for Squidpy
  ☆33Updated this week