Alternatives and similar repositories for glmpca-py

Users that are interested in glmpca-py are comparing it to the libraries listed below

• 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…
  ☆38Updated 2 years ago
• andrewcharlesjones / cplvm
  Contrastive Poisson latent variable models (CPLVMs)
  ☆11Updated 3 years ago
• RabadanLab / randomly
  A Library for Denoising Single-Cell Data with Random Matrix Theory
  ☆37Updated last year
• quadbio / latent-lego
  Latent spaces for single cells
  ☆21Updated last year
• czbiohub-sf / simscity
  A library to simulate single-cell data
  ☆2Updated 2 years ago
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• KrishnaswamyLab / scprep
  A collection of scripts and tools for loading, processing, and handling single cell data.
  ☆72Updated last year
• 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
• NikolayOskolkov / DeepLearningSingleCellBiology
  Here I show how to use Deep Autoencoders for single cell RNA sequencing data analysis
  ☆19Updated 6 years ago
• calico / velodyn
  Dynamical systems methods for RNA velocity analysis
  ☆24Updated 4 years ago
• theislab / batchglm
  Fit generalized linear models in python.
  ☆27Updated 2 years ago
• yanailab / knn-smoothing
  K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data
  ☆55Updated 2 years ago
• dawe / schist
  An interface for Nested Stochastic Block Model for single cell analysis
  ☆35Updated 2 months ago
• ManchesterBioinference / BranchedGP
  Branching Gaussian process
  ☆30Updated 2 years ago
• NikolayOskolkov / HowUMAPWorks
  Here I explain the math behind UMAP and show how to program it from scratch in Python
  ☆38Updated 4 years ago
• lujonathanh / BETS
  Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…
  ☆20Updated 2 years ago
• Teichlab / MultiMAP
  MultiMAP for integration of single cell multi-omics
  ☆56Updated last year
• CamaraLab / scTDA
  An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data
  ☆51Updated 6 years ago
• pachterlab / picasso
  Picasso: a methods for embedding points in 2D in a way that respects distances while fitting a user-specified shape.
  ☆70Updated 10 months ago
• canzarlab / JVis-learn
  ☆20Updated 4 years ago
• willtownes / nsf-paper
  Nonnegative spatial factorization for multivariate count data
  ☆58Updated last year
• pachterlab / CBP_2021
  ☆16Updated 3 years ago
• solevillar / scGeneFit-python
  Python code for genetic marker selection using linear programming
  ☆42Updated last year
• marrlab / HematoFatePrediction
  Code accompanying "Prospective identification of hematopoietic lineage choice by deep learning", Nature methods 2017, DOI:10.1038/nmeth.4…
  ☆20Updated 2 years ago
• auranic / Elastic-principal-graphs
  Matlab implementation of the Elastic Principal Graphs (ElPiGraph) method
  ☆14Updated 2 years ago
• KrishnaswamyLab / graphtools
  Tools for building and manipulating graphs in Python
  ☆41Updated 2 years ago
• RabadanLab / scTDA
  An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data
  ☆7Updated 7 years ago
• simslab / scHPF
  Single-cell Hierarchical Poisson Factorization
  ☆70Updated 2 years ago
• cantinilab / Mowgli
  Single-cell multi-omics integration using Optimal Transport
  ☆44Updated 8 months ago
• theislab / pseudodynamics
  Dynamic models for single-cell RNA-seq time series.
  ☆40Updated 6 years ago