Alternatives and similar repositories for torch-adata

Users that are interested in torch-adata are comparing it to the libraries listed below

• MICS-Lab / scyan
  Biology-driven deep generative model for cell-type annotation in cytometry. Scyan is an interpretable model that also corrects batch-effe…
  ☆41Updated last year
• theislab / batchglm
  Fit generalized linear models in python.
  ☆28Updated 2 years ago
• Teichlab / MultiMAP
  MultiMAP for integration of single cell multi-omics
  ☆55Updated 2 years ago
• almaan / eggplant
  ☆22Updated 3 years ago
• theislab / mubind
  Learning motif contributions to cell transitions using sequence features and graphs.
  ☆28Updated last year
• DendrouLab / panpipes
  Multi-modal single cell analysis pipelines
  ☆62Updated 3 weeks 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 🖥🔬✨
  ☆56Updated 6 months ago
• sfortma2 / scranPY
  A python implementation of scran computeSumFactors: normalization by deconvolution for single-cell RNA-sequencing
  ☆34Updated 2 years ago
• jzhoulab / quasildr
  Quasilinear data representations for single-cell omics data analysis
  ☆43Updated 2 years ago
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• dawe / schist
  An interface for Nested Stochastic Block Model for single cell analysis
  ☆36Updated 3 months ago
• gifford-lab / prescient
  Codebase for PRESCIENT (Potential eneRgy undErlying Single Cell gradIENTs) for generative modeling of single-cell time-series.
  ☆51Updated 11 months ago
• jkobject / scDataLoader
  a dataloader to work with large single cell datasets from lamindb
  ☆32Updated 3 weeks ago
• lkmklsmn / insct
  scRNAseq integration with triplet neural networks
  ☆41Updated 3 years ago
• LouisFaure / scFates
  a scalable python suite for tree inference and advanced pseudotime analysis from scRNAseq data.
  ☆65Updated last month
• azizilab / decipher
  A single-cell analysis toolkit to jointly analyze samples from distinct conditions
  ☆34Updated 9 months ago
• bioFAM / mofax
  Work with trained factor models in Python
  ☆36Updated last year
• theislab / scTab
  ☆61Updated last year
• theislab / multimil
  Weakly supervised learning uncovers phenotypic signatures in single-cell data
  ☆38Updated 3 weeks ago
• klarman-cell-observatory / PowerAnalysisForSpatialOmics
  ☆30Updated last year
• immunogenomics / cna
  Covarying neighborhood analysis (CNA) is a method for finding structure in- and conducting association analysis with multi-sample single-…
  ☆56Updated 7 months ago
• calico / velodyn
  Dynamical systems methods for RNA velocity analysis
  ☆24Updated 4 years ago
• Center-for-Health-Data-Science / multiDGD
  ☆26Updated 7 months ago
• FridleyLab / spatialGE
  Methods for visualization and analysis of spatially-resolved gene expression
  ☆21Updated 4 months ago
• settylab / Mellon
  Non-parametric density inference for single-cell analysis.
  ☆74Updated 7 months ago
• scverse / ecosystem-packages
  Registry for scverse ecosystem packages
  ☆32Updated last week
• const-ae / pyLemur
  A Python implementation of the LEMUR algorithm for analyzing multi-condition single-cell RNA-seq data.
  ☆27Updated last year
• lilab-bcb / harmony-pytorch
  ☆61Updated 7 months ago
• hemberg-lab / sc3s
  Single Cell Consensus Clustering with Speed
  ☆20Updated 3 years ago