Alternatives and similar repositories for BINN

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

• snap-stanford / KGWAS
  KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph
  ☆77Updated 10 months ago
• RasmussenLab / MOVE
  MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
  ☆90Updated last year
• const-ae / linear_perturbation_prediction-Paper
  ☆69Updated 6 months ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆52Updated 4 years ago
• chenhcs / FRoGS
  Functional Embedding of Gene Signatures
  ☆48Updated last year
• cmap / lincs-workshop-2020
  CMap Notebooks for LINCS 2020 Workshop
  ☆49Updated 4 years ago
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆52Updated 5 months ago
• ArcInstitute / cell-eval
  Comprehensive suite for evaluating perturbation prediction models
  ☆118Updated 2 weeks ago
• cantinilab / momix-notebook
  ☆66Updated 2 years ago
• bowang-lab / BIONIC
  Biological Network Integration using Convolutions
  ☆63Updated 2 years ago
• DabinJeong / GOAT_multi-omics_biomarker
  Multi-omics biomarker discovery tool exploiting a gene-gene interaction network
  ☆17Updated last year
• zou-group / CellVoyager
  ☆101Updated 4 months ago
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆133Updated last year
• BoevaLab / CancerFoundation
  CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
  ☆29Updated 4 months ago
• hosseinshn / MOLI
  MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction
  ☆55Updated 5 years ago
• rahuldhodapkar / cell2sentence
  Create cell sentences from sequencing data
  ☆23Updated last year
• altoslabs / perturbench
  ☆73Updated 3 weeks ago
• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆61Updated 2 weeks ago
• theislab / chemCPA
  Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
  ☆142Updated 11 months ago
• Genentech / BRAID
  BRAID is a department within Genentech dedicated to advancing biological and clinical sciences through artificial intelligence.
  ☆219Updated 5 months ago
• marakeby / pnet_prostate_paper
  P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
  ☆165Updated 4 years ago
• cole-trapnell-lab / sci-plex
  repository containing analysis scripts and auxiliary files
  ☆36Updated 5 years ago
• MaayanLab / archs4py
  Python package to load and query ARCHS4 data
  ☆25Updated 6 months ago
• itmoon7 / onconpc
  Clinical sequencing-based primary site classifier
  ☆38Updated last year
• MaayanLab / blitzgsea
  Fast Gene Set Enrichment Analysis (GSEA) implementation of the prerank algorithm. Use Loess interpolation of bimodal ES distribution for …
  ☆59Updated 8 months ago
• HakimBenkirane / CustOmics
  A deep-learning framework for multi-omics integration
  ☆31Updated 2 years ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆38Updated 2 years ago
• Lifoof / MoGCN
  Multi-omics integration method using AE and GCN
  ☆39Updated 2 years ago
• nitzanlab / biolord
  ☆90Updated last year
• ArcInstitute / cell-load
  pytorch dataloaders for single-cell perturbation data
  ☆42Updated this week