Alternatives and similar repositories for sparsecca

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

• KrishnaswamyLab / Multiscale_PHATE
  Creating multi-resolution embeddings and clusters from high dimensional data
  ☆57Updated last year
• willtownes / nsf-paper
  Nonnegative spatial factorization for multivariate count data
  ☆62Updated 2 years ago
• berenslab / mini-atlas
  Phenotypic variation of transcriptomic cell types in mouse motor cortex
  ☆26Updated 4 years ago
• AllenInstitute / abc_atlas_access
  Documentation and examples demonstrating how to access data from the Allen Brain Cell Atlas
  ☆96Updated last week
• brentp / combat.py
  python / numpy / pandas / patsy version of ComBat for removing batch effects.
  ☆105Updated 7 years ago
• xiaoqunwang-lab / Allendigger
  AllenDigger, a tool for spatial expression data visualization, spatial heterogeneity delineation and single cell registration based on Al…
  ☆14Updated 2 years ago
• theislab / moscot
  Multi-omic single-cell optimal transport tools
  ☆183Updated last week
• epigenelabs / pyComBat
  pyComBat is a Python 3 implementation of ComBat, one of the most widely used tool for correcting technical biases, called batch effects, …
  ☆89Updated last year
• berenslab / rna-seq-tsne
  The art of using t-SNE for single-cell transcriptomics
  ☆130Updated last year
• cantinilab / OT-scOmics
  This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…
  ☆42Updated 2 years ago
• dpeerlab / PhenoGraph
  Subpopulation detection in high-dimensional single-cell data
  ☆73Updated 5 years ago
• jcbmarques / clusterdv
  Density valley clustering (cluserdv). Matlab implementation.
  ☆27Updated 7 years ago
• gersteinlab / PsychENCODE_SingleCell_Integrative
  Integrative Analyses across 388 human brain samples at single-cell resolution
  ☆17Updated last year
• OleksiiR / cSTAR_Nature
  Scripts used in the paper "Control of cell state transitions" by Rukhlenko et al.
  ☆15Updated 3 years ago
• suinleelab / MD-AD
  ☆11Updated 2 years ago
• ncaptier / stabilized-ica
  Python implementation of a stabilized ICA algorithm
  ☆23Updated last year
• UK-Biobank / UKB-RAP-Notebooks-Access
  UKB RAP Notebooks contains a collection of examples of how to use UK Biobank Research Analyses Platform (RAP).
  ☆141Updated 6 months ago
• daniel-munro / imageCCA
  Code for preparing and running the imageCCA method.
  ☆20Updated 8 years ago
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆61Updated 4 years ago
• KrishnaswamyLab / MELD
  Quantifying experimental perturbations at single cell resolution
  ☆112Updated last year
• scvae / scvae
  Deep learning for single-cell transcript counts
  ☆88Updated 10 months ago
• aristoteleo / spateo-viewer
  Web application demonstrating 3D modeling of spatial transcriptomics
  ☆22Updated last year
• CaiGroup / seqFISH-PLUS
  ☆53Updated 4 years ago
• calico / spatial_lda
  Probabilistic topic model for identifying cellular micro-environments.
  ☆28Updated 2 years ago
• abidlabs / contrastive
  Contrastive PCA
  ☆231Updated 3 months ago
• j-bac / elpigraph-python
  Python implementation of the ElPiGraph algorithm with cpu and gpu support
  ☆19Updated last year
• CoAxLab / pycombat
  Python implementation of Combat for data harmonisation, allowing also to remove unwanted effects
  ☆15Updated 2 years ago
• suinleelab / contrastiveVI
  ☆60Updated last year
• slowkow / harmonypy
  🎼 Integrate multiple high-dimensional datasets with fuzzy k-means and locally linear adjustments.
  ☆246Updated last week
• CamaraLab / scTDA
  An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data
  ☆52Updated 7 years ago