Get Instant Summarized Text (Gist) An algorithm combining ATAC-seq and deep learning accurately identifies potential disease-causing variants in non-coding regions of the human genome by detecting ...

To do this, the algorithm uses individual variants and their annotations to calculate a numerical value that describes the extent to which a gene is impaired and its potential impact on health.

Despite differences in case collection, sequencing methods, and bioinformatics pipelines across all sites, Fabric GEM's performance demonstrated a new standard of accuracy, ranking the causative ...

Integration of variant annotations using deep set networks boosts rare variant association testing. Nature Genetics , 2024; DOI: 10.1038/s41588-024-01919-z Cite This Page : ...

Polar codes represent a seminal breakthrough in error-correcting coding, enabling communication systems to approach the theoretical capacity of a channel with low-complexity decoding methods.

New algorithm shakes up cryptography Date: May 15, 2014 Source: CNRS Summary: Researchers have solved one aspect of the discrete logarithm problem. This is considered to be one of the 'holy grails ...

Researchers from the Chinese University of Hong Kong have developed an algorithm that can predict the effectiveness of vaccines against Covid-19 variants with an accuracy rate of 95 per cent.

Since this "regulatory code" is not well understood, these noncoding variants have been more difficult to study, but prior genome-wide association studies (GWAS) have made great strides in ...

Decoding algorithms, such as successive cancellation, belief propagation and their variants, ... An algorithm that decodes polar codes bit by bit, leveraging the channel polarisation effect.