snap-stanford / UCE

Related projects: ⓘ

• snap-stanford / SATURN
  ☆104Updated 2 months ago
• theislab / nicheformer
  Repository for Nicheformer: a foundation model for single-cell and spatial omics
  ☆50Updated 4 months ago
• OmicsML / awesome-foundation-model-single-cell-papers
  ☆129Updated last month
• theislab / single-cell-transformer-papers
  ☆197Updated last month
• sanderlab / scPerturb
  scPerturb: A resource and a python/R tool for single-cell perturbation data
  ☆101Updated 3 weeks ago
• theislab / sc-pert
  Models and datasets for perturbational single-cell omics
  ☆141Updated 2 years ago
• JackieHanLab / TOSICA
  Transformer for One-Stop Interpretable Cell-type Annotation
  ☆126Updated 6 months ago
• snap-stanford / GEARS
  GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
  ☆192Updated last month
• OmicsML / CellPLM
  Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
  ☆61Updated 5 months ago
• scverse / pertpy
  Perturbation Analysis in the scverse ecosystem.
  ☆126Updated this week
• HelloWorldLTY / scEval
  Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.
  ☆45Updated 3 weeks ago
• broadinstitute / Tangram
  Spatial alignment of single cell transcriptomic data.
  ☆249Updated 3 months ago
• Genentech / scimilarity
  A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to repr…
  ☆84Updated this week
• LewisLabUCSD / Ligand-Receptor-Pairs
  Compendium of available lists of ligand-receptor pairs and surface-secreted protein interactions.
  ☆119Updated last year
• ludvb / xfuse
  Super-resolved spatial transcriptomics by deep data fusion
  ☆62Updated last year
• biomap-research / scFoundation
  ☆230Updated last month
• bunnech / cellot
  Learning Single-Cell Perturbation Responses using Neural Optimal Transport
  ☆112Updated 6 months ago
• jkobject / geneformer
  ☆25Updated 9 months ago
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆47Updated last year
• yiqunchen / GenePT
  ☆166Updated 6 months ago
• openproblems-bio / openproblems-v2
  Formalizing and benchmarking open problems in single-cell genomics
  ☆56Updated 2 weeks ago
• uhlerlab / cross-modal-autoencoders
  ☆52Updated last year
• saezlab / liana-py
  LIANA+: an all-in-one framework for cell-cell communication
  ☆153Updated last week
• azizilab / starfysh
  Spatial Transcriptomic Analysis using Reference-Free auxiliarY deep generative modeling and Shared Histology
  ☆95Updated 3 weeks ago
• theislab / ncem
  Learning cell communication from spatial graphs of cells
  ☆102Updated 8 months ago
• PayneLab / cptac
  Python packaging for CPTAC data
  ☆87Updated 2 months ago
• QuKunLab / SpatialBenchmarking
  ☆107Updated 2 years ago
• rahuldhodapkar / cell2sentence
  Create cell sentences from sequencing data
  ☆21Updated last month
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆82Updated last month
• daviddaiweizhang / istar
  ☆83Updated 4 months ago