Sequential regulatory activity predictions with deep convolutional neural networks.
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Genomic sequence storage, indexing and alignment inside PostgreSQL: https://bioseqdb.com/
- alignment
- bioinformatics
- biology
- database
scPerturb: A resource and a python/R tool for single-cell perturbation data
- cite-seq
- database
- perturbation
- scatac-seq
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
- self-attention
- compound-protein-interaction
- transformercpi
- structure-free-virtual-sreening
Python package for image-based profiling
- cytominer
- microscopy
- morphological-profiling
- python
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
- ai4science
- llm
- multiagent-systems
- prompt-engineering
Rails frontend to The Genome Institute's drug gene interaction database.
TypeDB Bio: Biomedical Knowledge Graph
- bioinformatics
- knowledge-graph
- knowledge-base
- drug-discovery
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
- epigenomics
- pattern-search
- data-visualization
- interactive-machine-learning
Methods for Image-Based Cell Profiling