Alternatives and similar repositories for pcurvepy:

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

• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆60Updated 4 years ago
• artusoma / prinPy
  Simple Principal Curves in Python
  ☆32Updated 3 years ago
• davisidarta / topometry
  Systematically learn and evaluate manifolds from high-dimensional data
  ☆97Updated last year
• auranic / Elastic-principal-graphs
  Matlab implementation of the Elastic Principal Graphs (ElPiGraph) method
  ☆14Updated 2 years ago
• VeraPancaldiLab / tysserand
  Fast reconstruction of spatial networks from bioimages.
  ☆25Updated 2 weeks ago
• kasparmartens / NeuralDecomposition
  PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"
  ☆25Updated 4 years 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…
  ☆38Updated 2 years ago
• berenslab / ne-spectrum
  Attraction-Repulsion Spectrum in Neighbor Embeddings
  ☆30Updated 2 years ago
• ManchesterBioinference / BranchedGP
  Branching Gaussian process
  ☆29Updated last year
• theislab / batchglm
  Fit generalized linear models in python.
  ☆27Updated 2 years ago
• andrewcharlesjones / spatial-alignment
  Alignment of spatial genomics data using deep Gaussian processes
  ☆27Updated 2 years ago
• msmdev / pyGPCCA
  pyGPCCA - python GPCCA: Generalized Perron Cluster Cluster Analysis package to coarse-grain reversible and non-reversible Markov state mo…
  ☆21Updated 3 weeks ago
• cantinilab / Mowgli
  Single-cell multi-omics integration using Optimal Transport
  ☆43Updated 7 months ago
• shangll123 / SpatialPCA
  Spatially aware dimension reduction for spatial transcriptomics.
  ☆48Updated last month
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated 10 months ago
• labsyspharm / visinity
  ☆16Updated 9 months ago
• krassowski / gsea-api
  Pandas API for multiple Gene Set Enrichment Analysis implementations in Python (GSEApy, cudaGSEA, GSEA)
  ☆14Updated 2 years ago
• NikolayOskolkov / DeepLearningSingleCellBiology
  Here I show how to use Deep Autoencoders for single cell RNA sequencing data analysis
  ☆19Updated 5 years ago
• audreyqyfu / LATE
  Imputation of single cell RNA-sequencing data with autoencoder
  ☆16Updated 3 years ago
• HBKUVisCommunity / inshade
  ☆12Updated 4 years ago
• ManchesterBioinference / GPcounts
  Gaussian process regression package for counts data with negative binomial and zero-inflated negative binomial likelihoods
  ☆21Updated 2 months ago
• aristoteleo / dynast-release
  Inclusive and efficient quantification of labeling and splicing RNAs for time-resolved metabolic labeling based scRNA-seq experiments
  ☆17Updated last year
• wahlby-lab / spage2vec
  ☆13Updated 3 years ago
• LuisScoccola / persistable
  density-based clustering for exploratory data analysis based on multi-parameter persistence
  ☆38Updated last month
• scottyler89 / umap_tsne_experiment
  Testing if UMAP/tSNE overfit their intrinsic dimensionality
  ☆15Updated last year
• zsteve / StationaryOT
  Dynamic inference from single-cell snapshots by optimal transport
  ☆19Updated last year
• Teichlab / covid19_MS1
  Analysis notebooks for "SARS-CoV-2 entry factors are highly expressed in nasal epithelial cells together with innate immune genes".
  ☆14Updated 4 years ago
• Teichlab / MultiMAP
  MultiMAP for integration of single cell multi-omics
  ☆56Updated last year
• eugenelin1 / DRA
  ☆16Updated 4 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