AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Databases, Nucleic Acid

Showing 81 to 88 of 88 articles

Clear Filters

Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Phylogeography research involving virus spread and tree reconstruction relies on accurate geographic locations of infected hosts. Insufficient level of geographic information in nucleotide sequence repositories such as GenBank motivates the use of na...

Res2s2aM: Deep residual network-based model for identifying functional noncoding SNPs in trait-associated regions.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Noncoding single nucleotide polymorphisms (SNPs) and their target genes are important components of the heritability of diseases and other polygenic traits. Identifying these SNPs and target genes could potentially reveal new molecular mechanisms and...

Deep neural networks and distant supervision for geographic location mention extraction.

Bioinformatics (Oxford, England)
MOTIVATION: Virus phylogeographers rely on DNA sequences of viruses and the locations of the infected hosts found in public sequence databases like GenBank for modeling virus spread. However, the locations in GenBank records are often only at the cou...

ICG: a wiki-driven knowledgebase of internal control genes for RT-qPCR normalization.

Nucleic acids research
Real-time quantitative PCR (RT-qPCR) has become a widely used method for accurate expression profiling of targeted mRNA and ncRNA. Selection of appropriate internal control genes for RT-qPCR normalization is an elementary prerequisite for reliable ex...

FARNA: knowledgebase of inferred functions of non-coding RNA transcripts.

Nucleic acids research
Non-coding RNA (ncRNA) genes play a major role in control of heterogeneous cellular behavior. Yet, their functions are largely uncharacterized. Current available databases lack in-depth information of ncRNA functions across spectrum of various cells/...

Gene essentiality prediction based on fractal features and machine learning.

Molecular bioSystems
Essential genes are required for the viability of an organism. Accurate and rapid identification of new essential genes is of substantial theoretical interest to synthetic biology and has practical applications in biomedicine. Fractals provide facili...

Networking Biology: The Origins of Sequence-Sharing Practices in Genomics.

Technology and culture
The wide sharing of biological data, especially nucleotide sequences, is now considered to be a key feature of genomics. Historians and sociologists have attempted to account for the rise of this sharing by pointing to precedents in model organism co...

Discovery of phenotypic networks from genotypic association studies with application to obesity.

International journal of data mining and bioinformatics
Genome-wide Association Studies (GWAS) have resulted in many discovered risk variants for several obesity-related traits. However, before clinical relevance of these discoveries can be achieved, molecular or physiological mechanisms of these risk var...