Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
- cancer-genomics
- cnv-detection
- single-cell
- phylogeny
47,133 repositories indexed
49–72 of 88 · Most stars
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
Mir (backports): Sparse tensors, Hoffman
The RAW JavaScript Quaternion library
scPerturb: A resource and a python/R tool for single-cell perturbation data
A Python interface to access neuroanatomical atlases
Repository for Nicheformer: a foundation model for single-cell and spatial omics
🏃 The go-to single-cell Foundation Model
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
Automated 3D brain registration with support for multiple species and atlases.
⚡ Open-source software for deep learning-based digital pathology
A strongly-typed genetic programming framework for Python
Learning cell communication from spatial graphs of cells
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
Data Access Client for Global Surface Summary of the Day (GSOD) Weather Written in R
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
A platform independent tensor library with autograd for the JVM
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).
MAT is library for working with multi-dimensional arrays which supports efficient interfacing to foreign and CUDA code. BLAS and CUBLAS bindings are available.
Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.
A matrix package for common lisp building on work by Mark Hoemmen, Evan Monroig, Tamas Papp and Rif.
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics