Alternatives and similar repositories for scRNA-DR2020:

Users that are interested in scRNA-DR2020 are comparing it to the libraries listed below

• andrewcharlesjones / cplvm
  Contrastive Poisson latent variable models (CPLVMs)
  ☆11Updated 3 years ago
• solevillar / scGeneFit-python
  Python code for genetic marker selection using linear programming
  ☆42Updated last year
• ManchesterBioinference / GPcounts
  Gaussian process regression package for counts data with negative binomial and zero-inflated negative binomial likelihoods
  ☆21Updated 2 months ago
• KrishnaswamyLab / graphtools
  Tools for building and manipulating graphs in Python
  ☆41Updated 2 years ago
• canzarlab / JVis-learn
  ☆20Updated 3 years ago
• KrishnaswamyLab / Multiscale_PHATE
  Creating multi-resolution embeddings and clusters from high dimensional data
  ☆53Updated 7 months ago
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆60Updated 4 years ago
• tjiagoM / gtex-transcriptome-modelling
  Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
  ☆11Updated 3 years ago
• zifanzhu / DeepLINK
  Deep Large-Scale Inference UsingKnockoffs
  ☆11Updated 3 years ago
• rs239 / schema
  Framework for integrating heterogeneous modalities of data
  ☆17Updated 2 years ago
• calico / scmmd
  Maximum mean discrepancy comparisons for single cell profiling experiments
  ☆15Updated 3 years ago
• gwgundersen / dpcca
  Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".
  ☆25Updated 3 years ago
• rongstat / meta-visualization
  A spectral method for assessing and combining multiple data visualizations
  ☆49Updated last year
• openproblems-bio / neurips2021-notebooks
  ☆29Updated 3 years ago
• RabadanLab / randomly
  A Library for Denoising Single-Cell Data with Random Matrix Theory
  ☆37Updated last year
• amspector100 / knockpy
  Knockoffs for controlled variable selection
  ☆36Updated 3 weeks ago
• blengerich / drpca
  Differential Robust PCA
  ☆13Updated 2 years ago
• dkobak / tsne-umap-init
  Initialization is critical for preserving global data structure in both t-SNE and UMAP
  ☆22Updated 4 years ago
• tare / Splotch
  Splotch is a hierarchical generative probabilistic model for analyzing Spatial Transcriptomics (ST) data
  ☆21Updated last month
• 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
• const-ae / transformGamPoi-Paper
  ☆27Updated last year
• sunericd / TISSUE
  TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation) provides tools for estimating well-calibrated uncertainty …
  ☆30Updated last year
• Genentech / dcdfg
  ☆24Updated 2 years ago
• ebecht / DR_benchmark
  ☆14Updated 4 years ago
• ahmedmalaa / AutoPrognosis
  Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
  ☆56Updated 4 years ago
• trneedham / QuantizedGromovWasserstein
  Scalable framework for comparing metric measure spaces with up to 1M points.
  ☆14Updated 4 years ago
• scottyler89 / umap_tsne_experiment
  Testing if UMAP/tSNE overfit their intrinsic dimensionality
  ☆15Updated last year
• andrewcharlesjones / spatial-alignment
  Alignment of spatial genomics data using deep Gaussian processes
  ☆27Updated 2 years ago
• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆29Updated 2 years ago
• welch-lab / MichiGAN
  Learning disentangled representations of single-cell data for high-quality generation
  ☆16Updated last year