Graph representation learning in biomedicine and healthcare
Networks—or graphs—are universal descriptors of systems of interacting elements. In
biomedicine and healthcare, they can represent, for example, molecular interactions …
biomedicine and healthcare, they can represent, for example, molecular interactions …
Techniques for and challenges in reconstructing 3D genome structures from 2D chromosome conformation capture data
Chromosome conformation capture technologies that provide frequency information for
contacts between genomic regions have been crucial for increasing our understanding of …
contacts between genomic regions have been crucial for increasing our understanding of …
The impact and future of artificial intelligence in medical genetics and molecular medicine: an ongoing revolution
Artificial intelligence (AI) platforms have emerged as pivotal tools in genetics and molecular
medicine, as in many other fields. The growth in patient data, identification of new diseases …
medicine, as in many other fields. The growth in patient data, identification of new diseases …
Graph representation learning in biomedicine
Biomedical networks (or graphs) are universal descriptors for systems of interacting
elements, from molecular interactions and disease co-morbidity to healthcare systems and …
elements, from molecular interactions and disease co-morbidity to healthcare systems and …
Comparative study on chromatin loop callers using Hi-C data reveals their effectiveness
Background Chromosome is one of the most fundamental part of cell biology where DNA
holds the hierarchical information. DNA compacts its size by forming loops, and these …
holds the hierarchical information. DNA compacts its size by forming loops, and these …
Chromatic Differentiation of Functional Mappings of the Composition of Nucleic Acids
IV Stepanyan, MY Lednev - Symmetry, 2023 - mdpi.com
Color visualization of the DNA of diverse living beings can help in the exploration of the
issue of chromatic differentiation of functional mappings of the nucleotide composition of …
issue of chromatic differentiation of functional mappings of the nucleotide composition of …
[HTML][HTML] GHOST: Graph-based higher-order similarity transformation for classification
Exploring and identifying a good feature representation to describe high-dimensional
datasets is a challenge of prime importance. However, plenty of feature selection techniques …
datasets is a challenge of prime importance. However, plenty of feature selection techniques …
GHOST: Graph Higher-Order Similarity Transformation for Classification
Exploring and identifying a good feature representation to describe high-dimensional
datasets is a challenge of prime importance. However, plenty of feature selection techniques …
datasets is a challenge of prime importance. However, plenty of feature selection techniques …
[PDF][PDF] 3D Chromosome Structure Reconstruction Using Graph Convolutional Neural Networks
V Hovenga, J Kalita, O Oluwadare - biomlearn.uccs.edu
Chromosome conformation capture (3C) is a method of measuring chromosome topology in
terms of loci interaction1. The Hi-C method is a derivative of 3C that allows for genome-wide …
terms of loci interaction1. The Hi-C method is a derivative of 3C that allows for genome-wide …