Alternatives and similar repositories for Hist2Cell

Users that are interested in Hist2Cell are comparing it to the libraries listed below

• almaan / her2st
  Her2 Breast Cancer Project
  ☆87Updated 3 years ago
• daviddaiweizhang / istar
  ☆153Updated 11 months ago
• SydneyBioX / GHIST
  ☆54Updated 2 months ago
• GuangyuWangLab2021 / Loki
  ☆110Updated 6 months ago
• ludvb / xfuse
  Super-resolved spatial transcriptomics by deep data fusion
  ☆74Updated 2 years ago
• GlastonburyC / RNAPath
  Self-supervised representation learning combining GTEx histology, RNA-seq and WGS
  ☆31Updated 7 months ago
• bryanhe / ST-Net
  Deep learning on histopathology images.
  ☆136Updated 4 years ago
• bowang-lab / BLEEP
  Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning
  ☆80Updated last year
• mahmoodlab / MAPS
  Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
  ☆62Updated last year
• biomed-AI / Hist2ST
  ☆51Updated 3 years ago
• chenhcs / SCS
  Sub-cellular spatial transcriptomics Cell Segmentation
  ☆68Updated 2 years ago
• ratschlab / HistoPlexer
  ☆24Updated 8 months ago
• AI4SCR / ATHENA
  ☆36Updated last month
• rendeirolab / LazySlide
  Accessible and interoperable whole slide image analysis
  ☆167Updated this week
• JinmiaoChenLab / SEDR
  ☆64Updated last year
• maxpmx / HisToGene
  PyTorch implementation of HisToGene
  ☆43Updated 4 years ago
• azizilab / starfysh
  Spatial Transcriptomic Analysis using Reference-Free auxiliarY deep generative modeling and Shared Histology
  ☆125Updated 6 months ago
• jianhuupenn / SpaGCN
  SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph con…
  ☆246Updated 2 years ago
• gevaertlab / sequoia-pub
  SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention
  ☆43Updated 6 months ago
• AltschulerWu-Lab / MUSE
  MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states f…
  ☆37Updated 3 years ago
• SydneyBioX / BIDCell
  Biologically-informed deep learning for cell segmentation of subcelluar spatial transcriptomics data
  ☆46Updated last year
• ruitian-olivia / IGI-DL
  Code for ST_IGI package
  ☆34Updated 4 months ago
• jianhuupenn / TESLA
  Deciphering tumor ecosystems at super-resolution from spatial transcriptomics with TESLA
  ☆63Updated last year
• deng-ai-lab / soScope
  ☆23Updated 8 months ago
• kpcoleman / miso
  ☆32Updated 10 months ago
• bowang-lab / scGPT-spatial
  ☆116Updated 9 months ago
• uhlerlab / cross-modal-autoencoders
  ☆56Updated 3 years ago
• gerstung-lab / PC-CHiP
  Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis
  ☆77Updated 4 years ago
• YangLabHKUST / SpatialScope
  A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models
  ☆74Updated last year
• owkin / HE2RNA_code
  Train a model to predict gene expression from histology slides.
  ☆109Updated 3 years ago