"Reconstructing 3D chromosome structures from single-cell Hi-C data with SO(3)-equivariant graph neural networks," was published in NAR Genomics and Bioinformatics. More information: Yanli Wang et ...

Entities and Relations for representing individual pieces of data, and Types for adding structure to information.” Entities, Relations and Types are defined by developers. The Graph will release ...

We present a graph-based computational ... clusters in tens of thousands of 3D genome structures. Integrating epigenomics and functional genomics data, we show that the clusters are involved ...

From our part, let's try to approach the analytics progression from a different viewpoint, focusing on a specific data structure: graphs. What is the optimal way to go through a number of bridges?

However, the complexity of data is often significant, especially when the scanned object has internal 3D structures, like rough edges. Edge-highlighting visualization is a technique used to ...

Topics include: data and procedural abstraction, amortized data structures, trees and search trees, hash tables, priority queues, graphs, shortest paths, searching, and sorting. Required for computer ...

“Reconstructing 3D chromosome structures from single-cell Hi-C data with SO(3)-equivariant graph neural networks,” was published in NAR Genomics and Bioinformatics.