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
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Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
talk with NCBI entrez using R
Probabilistic cell segmentation for in situ spatial transcriptomics
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.
Open source tumor evidence matching for sequencing labs and hospitals without molecular tumor boards. Research prototype; oncologist review required.
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.
🏃 The go-to single-cell Foundation Model
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
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
Python package for image-based profiling
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
A tool for cell instance aware segmentation in densely packed 3D volumetric images
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
Integrated pipeline for multiplexed image analysis
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
Toolbox for the analysis of smFISH images.
TypeDB Bio: Biomedical Knowledge Graph
NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).