Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
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Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
Spatial Single Cell Analysis in Python
- single-cell-rna-seq
- single-cell-genomics
- spatial-transcriptomics
- spatial-analysis
Schema and generated objects for biolink data model and upper ontology
- biolink
- monarchinitiative
- gene-ontology
- datamodel
A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.
Accurate and efficient spot detection for microscopy data
Learning cell communication from spatial graphs of cells
- tensorflow
- gnn
- glm
- cvae
Toolbox for the analysis of smFISH images.
- pattern-classification
- rna-localization
- segmentation
- smfish
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics