Alternatives and similar repositories for drpca

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

• berenslab / ne-spectrum
  Attraction-Repulsion Spectrum in Neighbor Embeddings
  ☆31Updated 2 years ago
• cnellington / Contextualized
  An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters.
  ☆76Updated 3 weeks ago
• KrishnaswamyLab / graphtools
  Tools for building and manipulating graphs in Python
  ☆42Updated this week
• facebookresearch / PoincareMaps
  The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRN…
  ☆148Updated 3 years ago
• hyhuang00 / scRNA-DR2020
  Code repository for the paper "Towards a Comprehensive Evaluation of Dimension Reduction Methods for Data Visualization"
  ☆12Updated last year
• berenslab / contrastive-ne
  Contrastive neighbor embeddings
  ☆54Updated this week
• 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
• Genentech / dcdfg
  ☆26Updated 2 years ago
• gwgundersen / dpcca
  Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".
  ☆28Updated 4 years ago
• davisidarta / topometry
  Systematically learn and evaluate manifolds from high-dimensional data
  ☆101Updated 2 years ago
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆60Updated 4 years ago
• KrishnaswamyLab / Multiscale_PHATE
  Creating multi-resolution embeddings and clusters from high dimensional data
  ☆55Updated 11 months ago
• hhcho / densvis
  Density-preserving data visualization tools den-SNE and densMAP
  ☆114Updated 4 years ago
• solevillar / scGeneFit-python
  Python code for genetic marker selection using linear programming
  ☆42Updated last year
• dkobak / tsne-umap-init
  Initialization is critical for preserving global data structure in both t-SNE and UMAP
  ☆23Updated 4 years ago
• ManchesterBioinference / GPcounts
  Gaussian process regression package for counts data with negative binomial and zero-inflated negative binomial likelihoods
  ☆22Updated 6 months ago
• PierreLambert3 / SQuaD-MDS-and-FItSNE-hybrid
  ☆15Updated 2 years ago
• quadbio / latent-lego
  Latent spaces for single cells
  ☆21Updated last year
• openproblems-bio / neurips2021-notebooks
  ☆30Updated 3 years ago
• tjiagoM / gtex-transcriptome-modelling
  Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
  ☆11Updated 4 years ago
• blengerich / Personalized_Regression
  Personalized Regression
  ☆17Updated 5 years ago
• davisidarta / fastlapmap
  Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …
  ☆23Updated 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
• 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
• kasparmartens / BasisVAE
  PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders
  ☆42Updated 5 years ago
• rongstat / meta-visualization
  A spectral method for assessing and combining multiple data visualizations
  ☆50Updated 2 years ago
• KrishnaswamyLab / SAUCIE
  ☆100Updated 10 months ago
• ppsp-team / StratiPy
  Graph regularized nonnegative matrix factorization (GNMF) in Python
  ☆45Updated 5 years ago
• KrishnaswamyLab / AAnet
  Archetypal Analysis network (AAnet)
  ☆37Updated 7 months ago
• NikolayOskolkov / tSNE_vs_UMAP_GlobalStructure
  Here we address the global structure preservation by tSNE and UMAP
  ☆48Updated 5 years ago