Alternatives and similar repositories for CELLama

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

• theislab / scTab
  ☆59Updated 10 months ago
• theislab / prophet
  ☆34Updated 2 months ago
• cantinilab / scPRINT
  single cell foundation model for Gene network inference and more
  ☆90Updated 2 weeks ago
• theislab / CellFlow
  Modeling complex perturbations with CellFlow
  ☆68Updated this week
• Lotfollahi-lab / nichecompass
  End-to-end analysis of spatial multi-omics data
  ☆84Updated 2 weeks ago
• shuxiaoc / maxfuse
  ☆53Updated last year
• romain-lopez / DestVI-reproducibility
  Reproducing the experiments of the DestVI paper
  ☆19Updated 3 years ago
• epigen / CellWhisperer
  CellWhisperer bridges the gap between transcriptomics data and natural language, enabling intuitive interaction with scRNA-seq datasets
  ☆58Updated 8 months ago
• biomed-AI / CellFM
  ☆61Updated last month
• JiangBioLab / DeepTalk
  Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional…
  ☆25Updated 10 months ago
• nitzanlab / biolord
  ☆80Updated 11 months ago
• ZhangLabGT / scMultiSim
  A simulator for single cell multi-omics and spatial omics data that provides ground truth to benchmark a wide range of methods.
  ☆57Updated 6 months ago
• sanderlab / scPerturb
  scPerturb: A resource and a python/R tool for single-cell perturbation data
  ☆129Updated 4 months ago
• lanagarmire / Asgard
  ☆43Updated last year
• LewisLabUCSD / Ligand-Receptor-Pairs
  Compendium of available lists of ligand-receptor pairs and surface-secreted protein interactions.
  ☆133Updated 2 years ago
• clinicalml / sc-foundation-eval
  Code for evaluating single cell foundation models scBERT and scGPT
  ☆44Updated 10 months ago
• mexchy1000 / CellDART
  domain adaptation of spatial and single-cell transcriptome
  ☆27Updated 9 months ago
• YangLabHKUST / SpatialScope
  A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models
  ☆67Updated last year
• ruppinlab / PERCEPTION
  Utilizing single-cell omics from patients tumor to predict response and resistance.
  ☆70Updated 2 years ago
• pinellolab / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆63Updated 9 months ago
• snap-stanford / SATURN
  ☆131Updated last year
• JackieHanLab / TOSICA
  Transformer for One-Stop Interpretable Cell-type Annotation
  ☆142Updated last year
• OSU-BMBL / scDEAL
  Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data
  ☆54Updated 11 months ago
• bm2-lab / STAMP
  ☆10Updated last month
• QuKunLab / MultiomeBenchmarking
  ☆49Updated 4 months ago
• ZJUFanLab / scCube
  an SRT simulator for simulating multiple spatial variability in spatial resolved transcriptomics and generating unbiased simulated SRT da…
  ☆25Updated 4 months ago
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆49Updated 5 months ago
• Emad-COMBINE-lab / GRouNdGAN
  A causal implicit generative model for simulating single-cell RNA-seq data guided by a gene regulatory network 🧬
  ☆30Updated last month
• HelloWorldLTY / scEval
  Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.
  ☆71Updated last month
• czi-ai / scGenePT
  ☆18Updated 5 months ago