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

RNA-seq prediction with deep convolutional neural networks.

Schema and generated objects for biolink data model and upper ontology

• biolink
• monarchinitiative
• gene-ontology
• datamodel

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

• cancer-genomics
• cnv-detection
• single-cell
• phylogeny

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

• 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.

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.

• 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.

Data visualisation web components for the life sciences.

• biohackeu21
• bioinformatics
• visualization
• webcomponents

Accurate and efficient spot detection for microscopy data

A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design

• protein
• protein-sequences
• protein-design
• representation-learning

A tool for cell instance aware segmentation in densely packed 3D volumetric images

• segmentation
• deep-learning
• bioinformatics
• neural-network