Alternatives and similar repositories for flowformer

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

• gevaertlab / metalearning_survival
  ☆16Updated 4 years ago
• biomed-AI / Hist2ST
  ☆46Updated 3 years ago
• zhangxiaoyu11 / OmiEmbed
  Multi-task deep learning framework for multi-omics data analysis
  ☆48Updated 3 years ago
• bryanhe / ST-Net
  Deep learning on histopathology images.
  ☆128Updated 3 years ago
• txWang / MOGONET
  MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in…
  ☆170Updated 4 years ago
• bowang-lab / BLEEP
  Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning
  ☆81Updated 10 months ago
• uhlerlab / cross-modal-autoencoders
  ☆55Updated 2 years ago
• Henrik86 / Topological-tumour-graphs
  ☆11Updated 5 years ago
• GaoLabXDU / MultiOmicsIntegrationStudy
  Experimental evaluation and comparison of multi-omics data integration methods for cancer subtyping
  ☆14Updated 4 years ago
• marakeby / pnet_prostate_paper
  P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
  ☆158Updated 3 years ago
• JiawenChenn / STimage-1K4M
  ☆72Updated 3 months ago
• stanfordmlgroup / DLBCL-Morph
  DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep …
  ☆37Updated 4 years ago
• TencentAILabHealthcare / MLA-GNN
  ☆43Updated 8 months ago
• daifengwanglab / JAMIE
  Joint variational Autoencoders for Multimodal Imputation and Embedding (JAMIE)
  ☆28Updated 5 months ago
• Boehringer-Ingelheim / anomaly-detection-in-histology
  Learning image representations for anomaly detection: application to discovery of histological alterations in drug development
  ☆21Updated last year
• AltschulerWu-Lab / MUSE
  MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states f…
  ☆35Updated 3 years ago
• juexinwang / scGNN
  scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
  ☆149Updated last year
• rsinghlab / SCOT
  Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data
  ☆75Updated last year
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 3 years ago
• Zhaocy-Research / TransformerST
  A Transformer Model Exploiting Histology Images and Spatial Gene Expression
  ☆21Updated 5 months ago
• almaan / her2st
  Her2 Breast Cancer Project
  ☆86Updated 2 years ago
• jump-cellpainting / 2024_Chandrasekaran_NatureMethods_CPJUMP1
  ☆65Updated 6 months ago
• ratschlab / DeepSpot
  DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images
  ☆53Updated this week
• labsyspharm / minerva-author
  Tool to create images and configuration files for Minerva-Story
  ☆16Updated 3 months ago
• zhangxiaoyu11 / OmiVAE
  End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.
  ☆34Updated 4 years ago
• rosasalberto / mil
  Multiple instance learning library for Python
  ☆65Updated 4 years ago
• Weiqin-Zhao / Hist2Cell
  ☆14Updated last month
• mahmoodlab / MAPS
  Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
  ☆58Updated last year
• gerstung-lab / PC-CHiP
  Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis
  ☆77Updated 4 years ago
• histocartography / athena
  Computational Framework to Analyse Spatial Heterogeneity in Visum, IMC or MIBI data sets
  ☆12Updated 3 years ago