Alternatives and similar repositories for pcpca

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

• fabian-sp / GGLasso
  A Python package for General Graphical Lasso computation
  ☆36Updated 5 months ago
• Jinke-Liu / Distance-of-distance-tSNE
  ☆10Updated last year
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆60Updated 4 years ago
• RabadanLab / randomly
  A Library for Denoising Single-Cell Data with Random Matrix Theory
  ☆37Updated last year
• lilab-bcb / nmf-torch
  ☆11Updated 2 months ago
• quadbio / latent-lego
  Latent spaces for single cells
  ☆21Updated last year
• msmdev / pyGPCCA
  pyGPCCA - python GPCCA: Generalized Perron Cluster Cluster Analysis package to coarse-grain reversible and non-reversible Markov state mo…
  ☆21Updated 4 months ago
• 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…
  ☆41Updated 2 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
• tjiagoM / gtex-transcriptome-modelling
  Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
  ☆11Updated 4 years ago
• ManchesterBioinference / BranchedGP
  Branching Gaussian process
  ☆30Updated 2 years ago
• kasparmartens / BasisVAE
  PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders
  ☆42Updated 5 years ago
• youlab / pattern_prediction_NN_Shangying
  Use LSTM neural network for 1D distributional data prediction
  ☆22Updated 2 years ago
• KrishnaswamyLab / Multiscale_PHATE
  Creating multi-resolution embeddings and clusters from high dimensional data
  ☆54Updated 10 months ago
• berenslab / ne-spectrum
  Attraction-Repulsion Spectrum in Neighbor Embeddings
  ☆31Updated 2 years ago
• rongstat / meta-visualization
  A spectral method for assessing and combining multiple data visualizations
  ☆50Updated 2 years ago
• pachterlab / CBP_2021
  ☆16Updated 3 years ago
• ManchesterBioinference / GPcounts
  Gaussian process regression package for counts data with negative binomial and zero-inflated negative binomial likelihoods
  ☆22Updated 5 months ago
• flatironinstitute / catvae
  Categorical Variational Autoencoders
  ☆24Updated 3 years ago
• NikolayOskolkov / HowUMAPWorks
  Here I explain the math behind UMAP and show how to program it from scratch in Python
  ☆39Updated 4 years ago
• andrewcharlesjones / cplvm
  Contrastive Poisson latent variable models (CPLVMs)
  ☆11Updated 3 years ago
• berenslab / rna-seq-tsne
  The art of using t-SNE for single-cell transcriptomics
  ☆127Updated 8 months ago
• pachterlab / picasso
  Picasso: a methods for embedding points in 2D in a way that respects distances while fitting a user-specified shape.
  ☆70Updated last year
• msesia / knockoff-filter
  A versatile interface to the knockoff methodology.
  ☆25Updated 3 years ago
• kazumits / ddhodge
  Modeling Latent Flow Structure using Hodge Decomposition
  ☆12Updated 4 months ago
• davisidarta / topometry
  Systematically learn and evaluate manifolds from high-dimensional data
  ☆100Updated 2 years ago
• gwgundersen / dpcca
  Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".
  ☆26Updated 4 years ago
• calico / velodyn
  Dynamical systems methods for RNA velocity analysis
  ☆24Updated 4 years ago
• scottyler89 / umap_tsne_experiment
  Testing if UMAP/tSNE overfit their intrinsic dimensionality
  ☆15Updated 2 years ago
• cantinilab / stories
  Learning cell fate landscapes from spatial transcriptomics using Fused Gromov-Wasserstein
  ☆13Updated 2 months ago