Spatial Single Cell Analysis in Python
- single-cell-rna-seq
- single-cell-genomics
- spatial-transcriptomics
- spatial-analysis
47,133 repositories indexed
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Spatial Single Cell Analysis in Python
R package for detecting doublets in single-cell RNA sequencing data
A Euclidean diffusion model for structure-based drug design.
A tool for semi-automatic cell type classification
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
Sequential regulatory activity predictions with deep convolutional neural networks.
A High-Level Abstraction Framework for Quantum Algorithms
Reference mapping for single-cell genomics
V library to develop Artificial Intelligence and High-Performance Scientific Computations
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Quantum Computer Library for Everyone
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
RNA-seq prediction with deep convolutional neural networks.
Bi-Directional Equivariant Long-Range DNA Sequence Modeling
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
a unified framework for modeling chemically reactive systems
scPerturb: A resource and a python/R tool for single-cell perturbation data
🏃 The go-to single-cell Foundation Model
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
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
code to run sei and obtain sei and sequence class predictions
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
The Massively Parallel Quantum Chemistry program, MPQC, computes properties of atoms and molecules from first principles using the time independent Schrödinger equation.