Alternatives and similar repositories for KGWAS

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

• Genentech / SpatialAgent
  ☆124Updated 4 months ago
• zou-group / CellVoyager
  ☆78Updated this week
• sjgosai / boda2
  Computational Optimization of DNA Activity (CODA)
  ☆60Updated 4 months ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆38Updated 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
  ☆49Updated 6 months ago
• sanderlab / scPerturb
  scPerturb: A resource and a python/R tool for single-cell perturbation data
  ☆129Updated 5 months ago
• cole-trapnell-lab / sci-plex
  repository containing analysis scripts and auxiliary files
  ☆35Updated 5 years ago
• microsoft / zero-shot-scfoundation
  ☆72Updated 11 months ago
• HelloWorldLTY / scEval
  Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.
  ☆71Updated last month
• ArcInstitute / cell-eval
  Comprehensive suite for evaluating perturbation prediction models
  ☆65Updated last week
• kekegg / DLEPS
  A Deep Learning based Efficacy Prediction System for drug discovery
  ☆69Updated 2 years ago
• SuperBianC / scMulan
  Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
  ☆61Updated last year
• bowang-lab / IntegrAO
  Integrate Any Omics: Towards genome-wide data integration for patient stratification
  ☆55Updated 2 months ago
• snap-stanford / SATURN
  ☆132Updated last year
• cmap / lincs-workshop-2020
  CMap Notebooks for LINCS 2020 Workshop
  ☆46Updated 3 years ago
• czi-ai / transcriptformer
  ☆58Updated last week
• xCompass-AI / GeneCompass
  GeneCompass
  ☆84Updated last month
• chenhcs / FRoGS
  Functional Embedding of Gene Signatures
  ☆46Updated last year
• sidhomj / DeepTCR
  Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
  ☆120Updated 2 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
  ☆34Updated 3 weeks ago
• vandijklab / cell2sentence
  Cell2Sentence: Teaching Large Language Models the Language of Biology
  ☆185Updated last month
• idekerlab / DrugCell
  A visible neural network model for drug response prediction
  ☆144Updated last year
• jkobject / geneformer
  ☆74Updated 2 months ago
• czi-ai / scGenePT
  ☆20Updated 6 months ago
• clinicalml / sc-foundation-eval
  Code for evaluating single cell foundation models scBERT and scGPT
  ☆45Updated 11 months ago
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆106Updated 11 months ago
• broadinstitute / depmap_omics
  What you need to process the Quarterly DepMap-Omics releases from Terra
  ☆119Updated this week
• TuftsBCB / RegDiffusion
  Diffusion model for gene regulatory network inference.
  ☆22Updated 2 weeks ago
• ShenLab-Genomics / SpliceTransformer
  SpliceTransformer(SpTransformer) is a deep learning tool to predict tissue specific splicing site from pre-mRNA sequence
  ☆27Updated 8 months ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆50Updated 3 years ago