Software
Open-source tools and frameworks developed for high-dimensional biological signal processing and scalable machine learning.
SEGGER
SOURCE [GITHUB]Large-scale GNN-based cell segmentation for spatial transcriptomics. Scaling to 10M+ nodes/30M transcripts with 1000x speedup via multi-GPU distributed training.
#Python#PyTorch_Geometric#Distributed_GNN
SAGENET
SOURCE [GITHUB]Supervised graph-attention framework for mapping single-cell gene expression to spatial locations. Outperforms Tangram/NovoSpaRc.
#Python#PyTorch#Transformers
SCGCN
SOURCE [GITHUB]Geometric deep learning framework on single-cell gene regulatory networks for cell annotation and discovery.
#Python#TensorFlow#GCN
MUVIS
SOURCE [GITHUB]Structured dependency modeling and visualization for mixed-type multivariate data using probabilistic graphical models.
#R#Visualization#PGM