Alternatives and similar repositories for scPROTEIN:

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

• JackieHanLab / TOSICA
  Transformer for One-Stop Interpretable Cell-type Annotation
  ☆138Updated last year
• clinicalml / sc-foundation-eval
  Code for evaluating single cell foundation models scBERT and scGPT
  ☆38Updated 6 months ago
• HelloWorldLTY / scEval
  Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.
  ☆64Updated 2 months ago
• SuperBianC / scMulan
  Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
  ☆57Updated 9 months ago
• OSU-BMBL / scDEAL
  Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data
  ☆51Updated 7 months ago
• theislab / nicheformer
  Repository for Nicheformer: a foundation model for single-cell and spatial omics
  ☆83Updated 2 months ago
• jsxlei / scCLIP
  ☆27Updated last year
• TencentAILabHealthcare / scTranslator
  ☆35Updated 7 months ago
• labomics / midas
  ☆51Updated last month
• QuKunLab / MultiomeBenchmarking
  ☆42Updated last week
• xianglin226 / Benchmarking-Single-Cell-Perturbation
  Single-Cell (Perturbation) Model Library
  ☆42Updated last week
• theislab / scTab
  ☆57Updated 6 months ago
• sanderlab / scPerturb
  scPerturb: A resource and a python/R tool for single-cell perturbation data
  ☆114Updated 2 weeks ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆49Updated 3 years ago
• YangLabHKUST / SpatialScope
  A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models
  ☆60Updated 9 months ago
• Lifoof / MoGCN
  Multi-omics integration method using AE and GCN
  ☆33Updated last year
• Perturbation-Response-Prediction / PRnet
  PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…
  ☆37Updated 3 months ago
• tianshilu / pMTnet
  Deep Learning the T Cell Receptor Binding Specificity of Neoantigen
  ☆78Updated 2 years ago
• ml4bio / CLEAR
  CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis
  ☆33Updated 2 years ago
• rahuldhodapkar / cell2sentence
  Create cell sentences from sequencing data
  ☆22Updated 7 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
  ☆30Updated last month
• theislab / scib-reproducibility
  Additional code and analysis from the single-cell integration benchmarking project
  ☆58Updated 2 years ago
• jsxlei / SCALEX
  Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space
  ☆76Updated 2 months ago
• OmicsML / CellPLM
  Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
  ☆78Updated 11 months ago
• suinleelab / contrastiveVI
  ☆53Updated 11 months ago
• xCompass-AI / GeneCompass
  GeneCompass
  ☆71Updated 7 months ago
• melobio / Concerto-reproducibility
  ☆38Updated 2 years ago
• Durenlab / LINGER
  ☆93Updated 2 months ago
• pinellolab / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆58Updated 4 months ago
• mcgilldinglab / scCross
  A Deep Learning-Based Model for the integration, cross-dataset cross-modality generation, self augmentation and matched multi-omics simul…
  ☆14Updated 2 weeks ago