Alternatives and similar repositories for BIONIC

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

• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆48Updated 4 months ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆50Updated 3 years ago
• cantinilab / Mowgli
  Single-cell multi-omics integration using Optimal Transport
  ☆44Updated 8 months ago
• cole-trapnell-lab / sci-plex
  repository containing analysis scripts and auxiliary files
  ☆34Updated 5 years ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆37Updated 2 years ago
• TencentAILabHealthcare / scTranslator
  ☆36Updated this week
• theislab / scgen-reproducibility
  ☆27Updated 4 years ago
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆100Updated 9 months ago
• theislab / prophet
  ☆32Updated 3 weeks ago
• saezlab / omnipath
  Python client for the OmniPath web service
  ☆44Updated this week
• BaderLab / EPIC
  This is the public repository for the EPIC tool.
  ☆17Updated 2 years ago
• sanderlab / CellBox
  CellBox: Interpretable Machine Learning for Perturbation Biology
  ☆54Updated last year
• bowang-lab / IntegrAO
  Integrate Any Omics: Towards genome-wide data integration for patient stratification
  ☆52Updated last week
• czi-ai / transcriptformer
  ☆46Updated this week
• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆32Updated last month
• krishnanlab / obnb
  A Python toolkit for setting up benchmarking dataset using biomedical networks
  ☆22Updated this week
• pinellolab / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆61Updated 7 months ago
• MaayanLab / blitzgsea
  Fast Gene Set Enrichment Analysis (GSEA) implementation of the prerank algorithm. Use Loess interpolation of bimodal ES distribution for …
  ☆48Updated 2 weeks ago
• HantaoShu / DeepSEM
  ☆81Updated last year
• bowang-lab / scFormer
  ☆19Updated 2 years ago
• altoslabs / perturbench
  ☆26Updated last week
• ma-compbio / SpiceMix
  spatial transcriptome, single cell
  ☆68Updated 2 years ago
• BIMSBbioinfo / maui
  Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
  ☆49Updated last year
• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆75Updated 5 months ago
• TuftsBCB / RegDiffusion
  Diffusion model for gene regulatory network inference.
  ☆18Updated 2 months ago
• lanagarmire / deepimpute
  An accurate and efficient deep learning method for single-cell RNA-seq data imputation
  ☆88Updated 3 years ago
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• theislab / scTab
  ☆58Updated 8 months ago
• scverse / scvi-tutorials
  Notebooks used in scvi-tools tutorials
  ☆52Updated this week
• ekernf01 / perturbation_benchmarking
  Comparing performance across many methodological dimensions among tools that predict RNA after TF knockdowns and overexpression.
  ☆19Updated 2 months ago