High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
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Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics
The repository host gives no description.
CGRs, molecules and reactions manipulation
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
- single-cell
- scrna-seq
- scatac-seq
- deep-neural-networks
MCP server for spatial transcriptomics analysis through natural language interfaces.
- bioinformatics
- cell-communication
- deconvolution
- machine-learning
A Python toolkit for quantum neural networks.
A cheminformatics extension for the SQLAlchemy database toolkit.
💬 Trace citation chains for any concept across research papers and render them as an interactive graph.
- academic-research
- bibliography
- citation-graph
- cli
The repository host gives no description.
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
- bioimage-analysis
- cell-classification
- computer-vision
- digital-pathology
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
- alphafold3
- docking
- drug-design
- drug-discovery
Multigrate: multiomic data integration for single-cell genomics
CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
- cancer
- foundation-model
- single-cell
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
3D shape analysis using deep learning
- cancer-biology
- cell-biology
- deep-learning
- geometric-deep-learning
Small size matrix handling module with a few linear algebra operations specifically for MicroPython (Python3)
A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders
Qurry (was) a prototype for a functional quantum programming language. It incorporated many aspects of functional programming (Haskell, Clojure), but also took standard design philosophies from C++, Python, and other "traditional" languages. [category: quantum]
A implementation of Shor's algorithm written in Python calling Q# for the quantum part
- qsharp
- python3
Single-cell fluorescence microscopy data analysis
- microscopy
- fluorescence-microscopy-imaging
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics
- bioinformatics
- cell-type-deconvolution
- computational-biology
- deconvolution
Java Scientific Computing Library - Signal Processing, FFT, Filters, PSD, DCT, SciPy-like APIs for JVM & Android used in Machine Learning and Data Science.
- android
- java
- python
- scipy
PyTorch implementation of "TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarity Augmentation"