Alternatives and similar repositories for Hist2ST:

Users that are interested in Hist2ST are comparing it to the libraries listed below

• maxpmx / HisToGene
  PyTorch implementation of HisToGene
  ☆36Updated 3 years ago
• almaan / her2st
  Her2 Breast Cancer Project
  ☆67Updated 2 years ago
• bowang-lab / BLEEP
  Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning
  ☆72Updated 5 months ago
• Weiqin-Zhao / Hist2Cell
  ☆12Updated 6 months ago
• TencentAILabHealthcare / MLA-GNN
  ☆42Updated 3 months ago
• bryanhe / ST-Net
  Deep learning on histopathology images.
  ☆115Updated 3 years ago
• chenhcs / SCS
  Sub-cellular spatial transcriptomics Cell Segmentation
  ☆62Updated last year
• GlastonburyC / RNAPath
  Self-supervised representation learning combining GTEx histology, RNA-seq and WGS
  ☆29Updated 3 weeks ago
• gevaertlab / sequoia-pub
  SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention
  ☆34Updated 2 weeks ago
• daviddaiweizhang / istar
  ☆121Updated 3 months ago
• yrjia1015 / THItoGene
  Code for the THItoGene
  ☆20Updated 9 months ago
• recolyce / HistoCell
  ☆23Updated this week
• JiawenChenn / STimage-1K4M
  ☆58Updated last month
• SydneyBioX / GHIST
  ☆9Updated 2 weeks ago
• Zhaocy-Research / TransformerST
  A Transformer Model Exploiting Histology Images and Spatial Gene Expression
  ☆17Updated 2 weeks ago
• JinmiaoChenLab / SEDR_analyses
  ☆39Updated last year
• mahmoodlab / MAPS
  Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
  ☆51Updated last year
• mexchy1000 / CellDART
  domain adaptation of spatial and single-cell transcriptome
  ☆26Updated 6 months ago
• ludvb / xfuse
  Super-resolved spatial transcriptomics by deep data fusion
  ☆72Updated 2 years ago
• ruitian-olivia / IGI-DL
  Code for ST_IGI package
  ☆22Updated 4 months ago
• JinmiaoChenLab / SpatialGlue
  SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.
  ☆52Updated 9 months ago
• ys-zong / conST
  conST: an interpretable multi-modal contrastive learning framework for spatial transcriptomics
  ☆26Updated last year
• CharlieCheckpt / pacpaint
  ☆11Updated last year
• gerstung-lab / PC-CHiP
  Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis
  ☆75Updated 4 years ago
• AltschulerWu-Lab / MUSE
  MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states f…
  ☆34Updated 2 years ago
• kpcoleman / miso
  ☆20Updated 2 months ago
• kmboehm / onco-fusion
  ☆27Updated 2 years ago
• biomed-AI / ConGI
  ☆11Updated last year
• BodenmillerGroup / SCPathology_publication
  The Single-Cell Pathology Landscape of Breast Cancer
  ☆26Updated 5 years ago
• sdw95927 / Ceograph
  CEll spatial Organization-based graph convolutional network
  ☆24Updated last year