Alternatives and similar repositories for mofapy2

Users that are interested in mofapy2 are comparing it to the libraries listed below

• bioFAM / mofax
  Work with trained factor models in Python
  ☆35Updated 11 months ago
• lilab-bcb / harmony-pytorch
  ☆56Updated 4 months ago
• brianhie / geosketch
  Geometry-preserving random sampling
  ☆89Updated 11 months ago
• aertslab / arboreto
  A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
  ☆60Updated last year
• flatironinstitute / inferelator
  Task-based gene regulatory network inference using single-cell or bulk gene expression data conditioned on a prior network.
  ☆53Updated last year
• potulabe / symphonypy
  Port of symphony algorithm of single-cell reference atlas mapping to Python
  ☆29Updated 3 weeks ago
• parashardhapola / scarf
  Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with mill…
  ☆104Updated 5 months ago
• Novartis / scar
  scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics
  ☆54Updated last year
• pinellolab / dictys
  Context specific and dynamic gene regulatory network reconstruction and analysis
  ☆122Updated 3 weeks ago
• cantinilab / HuMMuS
  Molecular interactions inference from single-cell multi-omics data
  ☆27Updated last week
• Center-for-Health-Data-Science / multiDGD
  ☆26Updated 4 months ago
• bendemeo / shannonca
  Information-based dimensionality reduction
  ☆29Updated 9 months ago
• saketkc / pySCTransform
  Python package to perform normalization and variance-stabilization of single-cell data
  ☆25Updated 2 months ago
• jzhoulab / quasildr
  Quasilinear data representations for single-cell omics data analysis
  ☆43Updated 2 years ago
• rajewsky-lab / spacemake
  ☆45Updated this week
• cistrome / MIRA
  Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.
  ☆64Updated 2 months ago
• lcmmichielsen / scHPL
  ☆37Updated 7 months ago
• JCVenterInstitute / NSForest
  A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA seq…
  ☆65Updated last month
• MaayanLab / blitzgsea
  Fast Gene Set Enrichment Analysis (GSEA) implementation of the prerank algorithm. Use Loess interpolation of bimodal ES distribution for …
  ☆52Updated 4 months ago
• theislab / pseudodynamics
  Dynamic models for single-cell RNA-seq time series.
  ☆40Updated 7 years ago
• cantinilab / Mowgli
  Single-cell multi-omics integration using Optimal Transport
  ☆46Updated last month
• pinellolab / pychromVAR
  A python package for chromVAR
  ☆30Updated 2 years ago
• noamteyssier / adpbulk
  pseudobulking on an AnnData object
  ☆34Updated 6 months ago
• cellatlas / human
  ☆44Updated 11 months ago
• dpeerlab / Harmony
  Harmony framework for connecting scRNA-seq data from discrete time points
  ☆51Updated last year
• KenLauLab / dropkick
  Automated cell filtering for single-cell RNA sequencing data
  ☆25Updated last year
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 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
• EngreitzLab / scE2G
  Pipeline to run scE2G
  ☆28Updated last week
• theislab / batchglm
  Fit generalized linear models in python.
  ☆28Updated 2 years ago