Alternatives and similar repositories for MuSIC

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

• sanderlab / CellBox
  CellBox: Interpretable Machine Learning for Perturbation Biology
  ☆56Updated 2 years ago
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆51Updated last month
• czi-ai / transcriptformer
  ☆82Updated 3 weeks ago
• bowang-lab / BIONIC
  Biological Network Integration using Convolutions
  ☆62Updated last year
• saezlab / pypath
  Python module for prior knowledge integration. Builds databases of signaling pathways, enzyme-substrate interactions, complexes, annotat…
  ☆151Updated last week
• theislab / prophet
  ☆36Updated this week
• sidhomj / DeepTCR
  Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
  ☆120Updated last week
• scverse / pytometry
  Flow & mass cytometry analytics.
  ☆54Updated last week
• ArcInstitute / cell-load
  pytorch dataloaders for single-cell perturbation data
  ☆27Updated this week
• bowang-lab / IntegrAO
  Integrate Any Omics: Towards genome-wide data integration for patient stratification
  ☆56Updated 4 months ago
• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆46Updated 2 months ago
• Genentech / decima
  Decima is a Python library to train sequence models on single-cell RNA-seq data.
  ☆46Updated this week
• const-ae / linear_perturbation_prediction-Paper
  ☆53Updated 2 months ago
• theislab / ncem
  Learning cell communication from spatial graphs of cells
  ☆112Updated last year
• KrishnaswamyLab / MELD
  Quantifying experimental perturbations at single cell resolution
  ☆109Updated 11 months ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆38Updated 2 years ago
• jkobject / scDataLoader
  a dataloader to work with large single cell datasets from lamindb
  ☆29Updated this week
• theislab / chemCPA
  Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
  ☆123Updated 7 months ago
• taborlab / FlowCal
  Python Flow Cytometry Calibration Library
  ☆52Updated 4 months ago
• bowang-lab / scFormer
  ☆19Updated 2 years ago
• snap-stanford / mars
  Discovering novel cell types across heterogenous single-cell experiments
  ☆123Updated 2 years ago
• cantinilab / scPRINT
  single cell foundation model
  ☆104Updated this week
• burtonrj / CytoPy
  A data-centric flow/mass cytometry automated analysis framework
  ☆42Updated 8 months ago
• jump-cellpainting / datasets
  Images and other data from the JUMP Cell Painting Consortium
  ☆176Updated this week
• nitzanlab / biolord
  ☆82Updated last year
• PayneLab / cptac
  Python packaging for CPTAC data
  ☆96Updated last year
• uio-bmi / immuneML
  immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.
  ☆69Updated this week
• cole-trapnell-lab / sci-plex
  repository containing analysis scripts and auxiliary files
  ☆36Updated 5 years ago
• theislab / CellFlow
  Modeling complex perturbations with CellFlow
  ☆85Updated this week
• theislab / sc-pert
  Models and datasets for perturbational single-cell omics
  ☆163Updated 3 years ago