Alternatives and similar repositories for SERGIO

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

• Genentech / sVAE
  ☆63Updated 2 years ago
• Murali-group / BoolODE
  Git Repo for simulating Boolean Models
  ☆35Updated last year
• dynverse / dyngen
  Simulating single-cell data using gene regulatory networks 📠
  ☆75Updated last year
• Bertinus / FLeCS
  Functional and Learnable Cell dynamicS
  ☆18Updated 4 months ago
• klarman-cell-observatory / scPhere
  ☆102Updated 2 years ago
• nitzanlab / biolord
  ☆84Updated last year
• ma-compbio / SpiceMix
  spatial transcriptome, single cell
  ☆70Updated 2 years ago
• KrishnaswamyLab / MELD
  Quantifying experimental perturbations at single cell resolution
  ☆110Updated last year
• YosefLab / SymSim
  ☆26Updated last year
• theislab / sc-pert
  Models and datasets for perturbational single-cell omics
  ☆163Updated 3 years ago
• HantaoShu / DeepSEM
  ☆85Updated 2 years ago
• KrishnaswamyLab / scprep
  A collection of scripts and tools for loading, processing, and handling single cell data.
  ☆74Updated last week
• const-ae / linear_perturbation_prediction-Paper
  ☆54Updated 2 months ago
• vandijklab / CINEMA-OT
  ☆34Updated 5 months ago
• zsteve / gWOT
  Global Waddington-OT
  ☆24Updated 6 months ago
• AltschulerWu-Lab / scScope
  ☆48Updated 6 years ago
• romain-lopez / scVI-reproducibility
  Reproducing the experiments of the paper "Deep generative modeling for single-cell transcriptomics"
  ☆57Updated 6 years ago
• zcang / SpaOTsc
  ☆45Updated 2 months ago
• theislab / scib-reproducibility
  Additional code and analysis from the single-cell integration benchmarking project
  ☆67Updated 2 years ago
• broadinstitute / wot
  A software package for analyzing snapshots of developmental processes
  ☆146Updated 3 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…
  ☆42Updated 2 years ago
• gifford-lab / prescient
  Codebase for PRESCIENT (Potential eneRgy undErlying Single Cell gradIENTs) for generative modeling of single-cell time-series.
  ☆49Updated 8 months ago
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆43Updated 2 years ago
• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆76Updated 9 months ago
• altoslabs / perturbench
  ☆42Updated 4 months ago
• aristoteleo / tabula
  federated learning with tabular learning
  ☆21Updated 7 months ago
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆111Updated last year
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• TuftsBCB / RegDiffusion
  Diffusion model for gene regulatory network inference.
  ☆24Updated 2 months ago
• theislab / trVAE
  Conditional out-of-distribution prediction
  ☆63Updated last year