Official repository for the ProteinGym benchmarks
- benchmark
- computational-biology
- protein
- protein-design
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Official repository for the ProteinGym benchmarks
Sequential regulatory activity predictions with deep convolutional neural networks.
Benchmarking analysis of data integration tools
The repository host gives no description.
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
Reference mapping for single-cell genomics
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
UCE is a zero-shot foundation model for single-cell gene expression data
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
RNA-seq prediction with deep convolutional neural networks.
Schema and generated objects for biolink data model and upper ontology
Bi-Directional Equivariant Long-Range DNA Sequence Modeling
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.
Probabilistic cell segmentation for in situ spatial transcriptomics
A Network Integration Approach for Drug-Target Interaction Prediction
scPerturb: A resource and a python/R tool for single-cell perturbation data
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
Repository for Nicheformer: a foundation model for single-cell and spatial omics
Open-source software for exploring and analyzing large, high-dimensional image-derived data.
OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.
🏃 The go-to single-cell Foundation Model
LLM for Drug Editing, ICLR 2024