Repository Index

Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk

• bioinformatics
• exact-optimization
• metabolomics
• paired-data

Open Frontier Biomolecular Intelligence

Schema and generated objects for biolink data model and upper ontology

• biolink
• monarchinitiative
• gene-ontology
• datamodel

RNA-seq prediction with deep convolutional neural networks.

Bi-Directional Equivariant Long-Range DNA Sequence Modeling

Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell

• histology
• wsi-images
• pan-cancer-analysis
• genomics

MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)

Ankh: Optimized Protein Language Model

A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.

scPerturb: A resource and a python/R tool for single-cell perturbation data

• cite-seq
• database
• perturbation
• scatac-seq

MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.

Open source tumor evidence matching for sequencing labs and hospitals without molecular tumor boards. Research prototype; oncologist review required.

• bioinformatics
• cancer-research
• computational-biology
• drug-repurposing

Repository for Nicheformer: a foundation model for single-cell and spatial omics

The repository host gives no description.

Open-source software for exploring and analyzing large, high-dimensional image-derived data.

• cellprofiler-analyst
• cellprofiler
• image-analysis
• machine-learning

OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.

🏃 The go-to single-cell Foundation Model

• batch-correction
• cell-biology
• celltype-annotation
• denoising

LLM for Drug Editing, ICLR 2024

• chatgpt
• conversation
• drug
• drug-discovery

Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.

• disentanglement
• drug-discovery
• genomics
• perturbation

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

Interpretable bilinear attention network with domain adaptation improves drug-target prediction.

The repository host gives no description.

Accurate and efficient spot detection for microscopy data

Python package for image-based profiling

• cytominer
• microscopy
• morphological-profiling
• python