Alternatives and similar repositories for EpiAgent

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

• madilabcode / scNET
  ☆54Updated 2 weeks ago
• Durenlab / LINGER
  ☆116Updated 4 months ago
• mcgilldinglab / scSemiProfiler
  A computational method scSemiProfiler that provides affordable single-cell data for large-scale disease cohorts using deep generative mod…
  ☆25Updated 4 months ago
• GuangyuWangLab2021 / cellDancer
  Predict RNA velocity through deep learning
  ☆71Updated last year
• GET-Foundation / get_model
  A modular framework for multimodal cross-cell-type transcriptional regulation models
  ☆92Updated 2 months ago
• STOmics / StereoMMv1
  StereoMM is a graph fusion model that can integrate gene expression, histological images, and spatial location. And the information inter…
  ☆37Updated 4 months ago
• mcgilldinglab / UNAGI
  Unagi: Deep Generative Model for Deciphering Cellular Dynamics and In-Silico Drug Discovery in Complex Diseases.
  ☆39Updated 3 months ago
• cliffren / PENCIL
  PENCIL is a novel tool for singlecell data analysis to identify phenotype associated subpopulations and informative genes simultaneously.
  ☆28Updated last year
• QuKunLab / MultiomeBenchmarking
  ☆49Updated 7 months ago
• SydneyBioX / scJoint
  ☆60Updated 2 years ago
• UCSC-VLAA / EpiFoundation
  Pytorch implementation of EpiFoundation
  ☆22Updated 7 months ago
• SONGDONGYUAN1994 / scDesign3
  scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics
  ☆104Updated 2 weeks ago
• kunwang34 / PhyloVelo
  PhyloVelo, Phylogeny-based transcriptomic velocity of single cells
  ☆43Updated last month
• yzf072 / spaTrack
  An optimal transport-based algorithm for inferring cell trajectories of spatial transcriptomics.
  ☆31Updated 6 months ago
• SuperBianC / scMulan
  Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
  ☆60Updated last year
• labomics / midas
  PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
  ☆59Updated last month
• wallet-maker / cytopus
  Single cell omics biology annotations
  ☆51Updated 5 months ago
• Roy-lab / scMTNI
  ☆30Updated 2 months ago
• yutongo / TIGON
  ☆49Updated 6 months ago
• Lotfollahi-lab / nichecompass
  End-to-end analysis of spatial multi-omics data
  ☆93Updated 2 months ago
• biomed-AI / CellFM
  ☆82Updated last month
• kaizhang / single-cell-benchmark
  ☆10Updated 2 years ago
• OSU-BMBL / scDEAL
  Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data
  ☆56Updated last year
• snehamitra / SCARlink
  ☆59Updated 3 months ago
• calico / scBasset
  Sequence-based Modeling of single-cell ATAC-seq using Convolutional Neural Networks.
  ☆98Updated last month
• lanagarmire / Asgard
  ☆44Updated last year
• buenrostrolab / scPrinter
  ☆50Updated 2 weeks ago
• huidongchen / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆19Updated last year
• ZJUFanLab / scNiche
  a computational framework to identify and characterize cell niches from spatial omics data at single-cell resolution
  ☆41Updated 2 months ago
• mcgilldinglab / CellAgentChat
  Python agent-based model tool for inference, visualization and analysis of cell-cell communication from single-cell data
  ☆33Updated this week