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
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Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
Native Haxe functions for graphical linear algebra (à la GLM: https://github.com/g-truc/glm/tree/master/glm)
MCP server for spatial transcriptomics analysis through natural language interfaces.
Multigrate: multiomic data integration for single-cell genomics
WebGL molecule viewer made with Babylon.js
CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders
Single-cell fluorescence microscopy data analysis
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics
Coq formalization of algorithms due to Tarjan and Kosaraju for finding strongly connected graph components using Mathematical Components and SSReflect [maintainers=@CohenCyril,@palmskog]
scPair: Boosting single cell multimodal analysis by leveraging single cell atlases and implicit feature selection
go-glmatrix is a golang version of glMatrix, which is "designed to perform vector and matrix operations stupidly fast".
Utility library to pretty print physical values in proper metric units
Port of godot-math to D: vectors, matrices, rectangles, points, AABBs, planes, frustums.
Formal proof in Coq of Puiseux's Theorem.