Alternatives and similar repositories for GHIST

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

• almaan / her2st
  Her2 Breast Cancer Project
  ☆92Updated 3 years ago
• GuangyuWangLab2021 / Loki
  A visual–omics foundation model to bridge histopathology with spatial transcriptomics
  ☆126Updated 7 months ago
• daviddaiweizhang / istar
  ☆158Updated last year
• ruitian-olivia / IGI-DL
  Code for ST_IGI package
  ☆34Updated 6 months ago
• loicchadoutaud / sCellST
  ☆18Updated last week
• biomed-AI / Hist2ST
  ☆53Updated 3 years ago
• recolyce / HistoCell
  ☆51Updated 10 months ago
• maxpmx / HisToGene
  PyTorch implementation of HisToGene
  ☆52Updated 4 years ago
• bowang-lab / BLEEP
  Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning
  ☆83Updated last year
• Weiqin-Zhao / Hist2Cell
  ☆19Updated 2 months ago
• KEAML-JLU / SpatialEx
  The source code for "High-Parameter Spatial Multi-Omics through Histology-Anchored Integration"
  ☆24Updated last week
• mahmoodlab / MAPS
  Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
  ☆63Updated last year
• rendeirolab / LazySlide
  Accessible and interoperable whole slide image analysis
  ☆175Updated last week
• bryanhe / ST-Net
  Deep learning on histopathology images.
  ☆140Updated 4 years ago
• SydneyBioX / BIDCell
  Biologically-informed deep learning for cell segmentation of subcelluar spatial transcriptomics data
  ☆46Updated last year
• ratschlab / HistoPlexer
  ☆28Updated 10 months ago
• GlastonburyC / RNAPath
  Self-supervised representation learning combining GTEx histology, RNA-seq and WGS
  ☆33Updated 9 months ago
• fuscc-deep-path / sc_MTOP
  sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosys…
  ☆44Updated 8 months ago
• wenwenmin / scstGCN
  [Briefings in Bioinformatics 2025] A GCN and pathology image large model-based method to predict single-cell resolution spatial gene expr…
  ☆25Updated last month
• zonechen1994 / AI_TLS_segmentation
  ☆40Updated 11 months ago
• gevaertlab / sequoia-pub
  SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention
  ☆48Updated 7 months ago
• chenhcs / SCS
  Sub-cellular spatial transcriptomics Cell Segmentation
  ☆68Updated 2 years ago
• AIRMEC / HECTOR
  Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.
  ☆44Updated last year
• CharlieCheckpt / pacpaint
  ☆13Updated 2 years ago
• SydneyBioX / HEtoSGEBench
  ☆18Updated 11 months ago
• JiawenChenn / STimage-1K4M
  ☆79Updated 8 months ago
• cpath-ukk / grandqc
  GrandQC tool for tissue detection and quality control in pathology
  ☆79Updated last month
• owkin / HE2RNA_code
  Train a model to predict gene expression from histology slides.
  ☆112Updated 3 years ago
• jianhuupenn / TESLA
  Deciphering tumor ecosystems at super-resolution from spatial transcriptomics with TESLA
  ☆64Updated last year
• BianChang / HEMIT-DATASET
  This repository provides the dataset HEMIT for H&E to mIHC image-to-image translation task
  ☆16Updated last year