Alternatives and similar repositories for SpatialCorr

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

• willtownes / nsf-paper
  Nonnegative spatial factorization for multivariate count data
  ☆59Updated 2 years ago
• FridleyLab / spatialGE
  Methods for visualization and analysis of spatially-resolved gene expression
  ☆21Updated last month
• quadbio / VoxHunt
  VoxHunt: Resolving human brain organoid heterogeneity through single-cell genomic comparison to spatial brain maps
  ☆47Updated last year
• PMBio / SpatialDE
  Test genes for Spatial Variation
  ☆14Updated 9 months ago
• willtownes / spatial-factorization-py
  Probabilistic factor models for spatially correlated data. Includes nonnegative and real-valued versions.
  ☆16Updated 10 months ago
• wanglab-broad / CAST
  CAST package
  ☆40Updated 11 months ago
• StatBiomed / SpatialDM
  Spatial direct messaging detected by bivariate Moran
  ☆29Updated 2 months ago
• BiomedicalMachineLearning / Spacell
  ☆26Updated 5 years ago
• immunitastx / monkeybread
  Analyzing cellular niches in spatial transcriptomics data
  ☆30Updated 10 months 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
• camlab-bioml / astir
  astir | Automated cell identity from single-cell multiplexed imaging and proteomics 🖥🔬✨
  ☆55Updated 3 months ago
• sfortma2 / scranPY
  A python implementation of scran computeSumFactors: normalization by deconvolution for single-cell RNA-sequencing
  ☆35Updated last year
• Mr-Milk / SpatialTis
  Spatial analysis toolkit for single cell multiplexed tissue data
  ☆30Updated last year
• LouisFaure / scFates
  a scalable python suite for tree inference and advanced pseudotime analysis from scRNAseq data.
  ☆61Updated last month
• klarman-cell-observatory / PowerAnalysisForSpatialOmics
  ☆28Updated last year
• QihuangZhang / CeLEry
  CeLEry: cell location recovery in single-cell RNA sequencing
  ☆35Updated 7 months ago
• msraredon / Connectome
  ☆29Updated 3 years ago
• ratschlab / scim
  Code for Universal Single-Cell Matching with Unpaired Feature Sets
  ☆21Updated 4 years ago
• immunogenomics / cna
  Covarying neighborhood analysis (CNA) is a method for finding structure in- and conducting association analysis with multi-sample single-…
  ☆55Updated 4 months ago
• jzhoulab / quasildr
  Quasilinear data representations for single-cell omics data analysis
  ☆43Updated 2 years ago
• JEFworks-Lab / MERINGUE
  characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with nonuniform cellular dens…
  ☆80Updated 3 years ago
• almaan / eggplant
  ☆22Updated 3 years ago
• theislab / multimil
  Multimodal weakly supervised learning to identify disease-specific changes in single-cell atlases
  ☆35Updated this week
• ZhuangLab / MERlin
  MERFISH decoding software
  ☆26Updated last month
• doraadong / UNIFAN
  Unsupervised cell functional annotation for single-cell RNA-Seq
  ☆22Updated 2 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
• KChen-lab / bindSC
  Bi-order integration (in silico multi-omics data) of single cell RNA sequencing, single cell ATAC sequencing, spacial transcriptomics and…
  ☆36Updated 2 years ago
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• klarman-cell-observatory / hdst
  ☆19Updated 6 years ago
• sqjin / scEpath
  An energy landscape-based approach for measuring developmental states and inferring cellular trajectories from single cell RNA-seq data
  ☆18Updated 4 years ago