scPerturb: A resource and a python/R tool for single-cell perturbation data
- cite-seq
- database
- perturbation
- scatac-seq
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scPerturb: A resource and a python/R tool for single-cell perturbation data
A Python interface to access neuroanatomical atlases
AI-based pathology predicts origins for cancers of unknown primary - Nature
Open source tumor evidence matching for sequencing labs and hospitals without molecular tumor boards. Research prototype; oncologist review required.
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
Python package for calculating reference/potential evapotranspiration (ETo).
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
A framework for high-performance domain decomposition methods.
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
Automated 3D brain registration with support for multiple species and atlases.
Data visualisation web components for the life sciences.
FastGenericNew: high-performance generic instantiation for .NET, replacing Activator.CreateInstance<
Type-safe dependency injection singleton wrapper with lazy init and generic constructor support
⚡ Open-source software for deep learning-based digital pathology
RTree2D is a 2D immutable R-tree for ultra-fast nearest and intersection queries in plane and spherical coordinates
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
Easy link prediction tool
SIMD enhanced Array operations
A tool for cell instance aware segmentation in densely packed 3D volumetric images
Inner ear models for Python
Learning cell communication from spatial graphs of cells
code to run sei and obtain sei and sequence class predictions
Coq Repository at Nijmegen [maintainers=@spitters,@VincentSe,@Lysxia]
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework