Alternatives and similar repositories for biolord

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

• sanderlab / scPerturb
  scPerturb: A resource and a python/R tool for single-cell perturbation data
  ☆128Updated 4 months ago
• YosefLab / scib-metrics
  Accelerated, Python-only, single-cell integration benchmarking metrics
  ☆60Updated this week
• theislab / sc-pert
  Models and datasets for perturbational single-cell omics
  ☆152Updated 2 years ago
• cantinilab / scPRINT
  single cell foundation model for Gene network inference and more
  ☆88Updated last week
• jkobject / scPRINT
  single cell foundation model for Gene network inference and more
  ☆17Updated last week
• theislab / scib-reproducibility
  Additional code and analysis from the single-cell integration benchmarking project
  ☆67Updated 2 years ago
• theislab / scTab
  ☆59Updated 9 months ago
• theislab / prophet
  ☆34Updated last month
• Lotfollahi-lab / nichecompass
  End-to-end analysis of spatial multi-omics data
  ☆78Updated 3 months ago
• ZhangLabGT / scMultiSim
  A simulator for single cell multi-omics and spatial omics data that provides ground truth to benchmark a wide range of methods.
  ☆52Updated 5 months ago
• const-ae / linear_perturbation_prediction-Paper
  ☆23Updated last month
• theislab / CellFlow
  Modeling complex perturbations with CellFlow
  ☆57Updated this week
• openproblems-bio / openproblems-v2
  Formalizing and benchmarking open problems in single-cell genomics
  ☆56Updated 2 weeks ago
• lilab-bcb / harmony-pytorch
  ☆54Updated last month
• SONGDONGYUAN1994 / scDesign3
  scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics
  ☆97Updated 3 months ago
• suinleelab / contrastiveVI
  ☆55Updated last year
• livnatje / DIALOGUE
  DIALOGUE is a dimensionality reduction method that uses cross-cell-type associations to identify multicellular programs (MCPs) and map th…
  ☆112Updated last year
• GuangyuWangLab2021 / cellDancer
  Predict RNA velocity through deep learning
  ☆69Updated last year
• Genentech / decima
  Decima is a Python library to train sequence models on single-cell RNA-seq data.
  ☆38Updated this week
• theislab / nicheformer
  Repository for Nicheformer: a foundation model for single-cell and spatial omics
  ☆94Updated 3 months ago
• theislab / DRVI
  Unsupervised Deep Disentangled Representation of Single-Cell Omics
  ☆44Updated this week
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆100Updated 10 months ago
• atarashansky / SCTransformPy
  A python port of the R package SCTransform:
  ☆20Updated 3 years ago
• dpeerlab / ENVI
  ☆48Updated last month
• mossjacob / pyslingshot
  Python implementation of the Slingshot pseudotime algorithm
  ☆61Updated last year
• MICS-Lab / novae
  Graph-based foundation model for spatial transcriptomics data. Zero-shot spatial domain inference, batch-effect correction, and many othe…
  ☆49Updated last week
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆50Updated 3 years ago
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆48Updated 5 months ago
• altoslabs / perturbench
  ☆28Updated last month
• xianglin226 / Benchmarking-Single-Cell-Perturbation
  Single-Cell (Perturbation) Model Library
  ☆64Updated this week