Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.
- hubmap
- imaging
- openmicroscopy
- ome-tiff
Repository Index
75,360 visible repositories in the index
49–72 of 84 · Most stars
Boost.Multiprecision
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
- histology
- wsi-images
- pan-cancer-analysis
- genomics
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
- cancer-genomics
- cnv-detection
- single-cell
- phylogeny
Wide-Integer implements a generic C++ template for uint128_t, uint256_t, uint512_t, uint1024_t, etc.
- high-performance
- embedded-systems
- multiprecision
- numerical
Multiresolution Adaptive Numerical Environment for Scientific Simulation
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
Multi-dimensional Swift math
- math
- swift
Dlang Core Library
- ndslice
- iterator
- range
- algorithms
An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC
- model-predictive-control
- nonlinear-model-predictive-control
- mpc
- nmpc
The V Tensor Library
- v
- hacktoberfest
- autograd
- deep-learning
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
- go
- golang
- matrix
- scientific-computing
Automated 3D brain registration with support for multiple species and atlases.
- registration
- atlases
- brain
- neuroscience
Numpy-like library in swift. (Multi-dimensional Array, ndarray, matrix and vector library)
- swift
- math
- ndimensional-arrays
- ndarray
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
- ai4science
- llm
- multiagent-systems
- prompt-engineering
Integrated pipeline for multiplexed image analysis
- multiplexed-imaging
- python
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
- deep-generative-model
- deep-learning
- single-cell-data-integration
- single-cell-multiomics
MAT is library for working with multi-dimensional arrays which supports efficient interfacing to foreign and CUDA code. BLAS and CUBLAS bindings are available.
Graph data structures with multiple heterogeneous metadata for Graphs.jl.
- graph
- graphs
- metadata
- juliagraphs
Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
- cell-annotation
- multiplexed-imaging
- mpif
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
- foundation-models
- gpt
- single-cell
Elixir library implementing a parallel matrix multiplication algorithm and other utilities for working with matrices. Used for benchmarking computationally intensive concurrent code.
Efficient and expressive arrayed vector math library with multi-threading and CUDA support in Common Lisp.