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
  ☆39Updated 3 years ago
• almaan / her2st
  Her2 Breast Cancer Project
  ☆72Updated 2 years ago
• recolyce / HistoCell
  ☆32Updated last month
• bryanhe / ST-Net
  Deep learning on histopathology images.
  ☆120Updated 3 years ago
• TencentAILabHealthcare / MLA-GNN
  ☆43Updated 5 months ago
• yrjia1015 / THItoGene
  Code for the THItoGene
  ☆24Updated last month
• bowang-lab / BLEEP
  Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning
  ☆76Updated 6 months ago
• GlastonburyC / RNAPath
  Self-supervised representation learning combining GTEx histology, RNA-seq and WGS
  ☆29Updated last month
• Weiqin-Zhao / Hist2Cell
  ☆12Updated 8 months ago
• JiawenChenn / STimage-1K4M
  ☆64Updated 3 months ago
• mahmoodlab / MAPS
  Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
  ☆54Updated last year
• Zhaocy-Research / TransformerST
  A Transformer Model Exploiting Histology Images and Spatial Gene Expression
  ☆18Updated last month
• gevaertlab / sequoia-pub
  SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention
  ☆41Updated last month
• chenhcs / SCS
  Sub-cellular spatial transcriptomics Cell Segmentation
  ☆64Updated last year
• CharlieCheckpt / pacpaint
  ☆11Updated 2 years ago
• daviddaiweizhang / istar
  ☆129Updated 4 months ago
• ruitian-olivia / IGI-DL
  Code for ST_IGI package
  ☆25Updated 6 months ago
• Yan98 / EGN
  Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction
  ☆16Updated last year
• SydneyBioX / GHIST
  ☆10Updated this week
• BodenmillerGroup / SCPathology_publication
  The Single-Cell Pathology Landscape of Breast Cancer
  ☆26Updated 5 years ago
• ludvb / xfuse
  Super-resolved spatial transcriptomics by deep data fusion
  ☆73Updated 2 years ago
• ratschlab / DeepSpot
  DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images
  ☆33Updated last week
• gerstung-lab / PC-CHiP
  Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis
  ☆76Updated 4 years ago
• JinmiaoChenLab / SEDR_analyses
  ☆39Updated last year
• mexchy1000 / CellDART
  domain adaptation of spatial and single-cell transcriptome
  ☆27Updated 7 months ago
• AltschulerWu-Lab / MUSE
  MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states f…
  ☆34Updated 3 years ago
• kpcoleman / miso
  ☆22Updated 3 months ago
• KatherLab / cancer-metadata
  machine-readable information for the TCGA dataset, mirrored from other sources
  ☆20Updated 2 years ago
• Path-AI / hif2gene
  Data and code to accompany our Nature publication
  ☆46Updated 3 years ago
• kmboehm / onco-fusion
  ☆27Updated 2 years ago