Alternatives and similar repositories for bignmf

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

• ccshao / nimfa
  nimfa - A Python Library for Nonnegative Matrix Factorization Techniques
  ☆10Updated 7 years ago
• dylkot / scsim
  Simulate single-cell RNA-SEQ data using the Splatter statistical framework but implemented in python. In addition, simulate doublet cells…
  ☆28Updated 4 years ago
• bioFAM / mofapy2
  Multi-omics factor analysis v2
  ☆56Updated 2 weeks ago
• bioFAM / mofax
  Work with trained factor models in Python
  ☆36Updated last year
• bioFAM / FISHFactor
  A probabilistic factor model for spatial transcriptomics data with subcellular resolution
  ☆25Updated 2 years ago
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• linnarsson-lab / ipynb-lamanno2016
  Notebook and examples related to La Manno and Gyllborg et al. 2016
  ☆16Updated 8 years ago
• cantinilab / Mowgli
  Single-cell multi-omics integration using Optimal Transport
  ☆50Updated 5 months ago
• giannarelli-lab / Single-Cell-Immune-Profiling-of-Atherosclerotic-Plaques
  Immune Profiling of Atherosclerotic Plaques Identifies
  ☆10Updated 2 years ago
• AltschulerWu-Lab / scScope
  ☆48Updated 6 years ago
• hhcho / netsne
  ☆21Updated 7 years ago
• schillerlab / sc-toolbox
  A collection of project templates and useful functions for single-cell data analysis with Scanpy.
  ☆21Updated 2 years ago
• huBioinfo / CytoTalk
  A computational method for inferring cell-cell communication signaling networks using single-cell transcriptomics data.
  ☆20Updated last month
• xuyungang / scIGANs
  Generative adversarial networks for single-cell RNA-seq imputation
  ☆39Updated 5 years ago
• MarioniLab / FurtherMNN2018
  Code for further development of the mutual nearest neighbours batch correction method, as implemented in the batchelor package.
  ☆22Updated 6 years ago
• aertslab / arboreto
  A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
  ☆64Updated last year
• bioFAM / slalom
  ☆29Updated 3 years ago
• WangShuxiong / SoptSC
  SoptSC for single cell data analysis: unsupervised inference of clustering, cell lineage, pseudotime and cell-cell communication network …
  ☆22Updated 5 years ago
• sqjin / scAI
  An unsupervised approach for the integrative analysis of single-cell multi-omics data
  ☆31Updated 5 years ago
• tanlabcode / CytoTalk
  A novel computational method for inferring cell-type-specific signaling networks using single-cell transcriptomics data for better charac…
  ☆44Updated 4 months ago
• AprilYuge / scAAnet
  Single-cell archetypal analysis neural network
  ☆16Updated 3 years ago
• ChengF-Lab / autoCell
  ☆16Updated 3 years ago
• doraadong / UNIFAN
  Unsupervised cell functional annotation for single-cell RNA-Seq
  ☆22Updated 3 years ago
• calico / scmmd
  Maximum mean discrepancy comparisons for single cell profiling experiments
  ☆19Updated 4 years ago
• haotianteng / FICT
  FISH Iterative Cell Typing
  ☆11Updated last year
• txWang / BERMUDA
  BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.
  ☆31Updated 6 years ago
• willtownes / nsf-paper
  Nonnegative spatial factorization for multivariate count data
  ☆62Updated 2 years ago
• mbernste / SpatialCorr
  SpatialCorr: Identify gene sets with spatially varying correlation
  ☆18Updated 2 years ago
• yanailab / knn-smoothing
  K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data
  ☆61Updated 3 years ago
• vals / Blog
  ☆38Updated 2 weeks ago