AI Medical Compendium Topic:
Genomics

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Machine learning meets omics: applications and perspectives.

Briefings in bioinformatics
The innovation of biotechnologies has allowed the accumulation of omics data at an alarming rate, thus introducing the era of 'big data'. Extracting inherent valuable knowledge from various omics data remains a daunting problem in bioinformatics. Bet...

A roadmap for multi-omics data integration using deep learning.

Briefings in bioinformatics
High-throughput next-generation sequencing now makes it possible to generate a vast amount of multi-omics data for various applications. These data have revolutionized biomedical research by providing a more comprehensive understanding of the biologi...

The Human Disease Ontology 2022 update.

Nucleic acids research
The Human Disease Ontology (DO) (www.disease-ontology.org) database, has significantly expanded the disease content and enhanced our userbase and website since the DO's 2018 Nucleic Acids Research DATABASE issue paper. Conservatively, based on availa...

Deciphering the regulatory syntax of genomic DNA with deep learning.

Journal of biosciences
An organism's genome contains many sequence regions that perform diverse functions. Examples of such regions include genes, promoters, enhancers, and binding sites for regulatory proteins and RNAs. One of biology's most important open problems is how...

[Percellome Project: research on molecular mechanisms of toxicological responses based on transcriptomics and epigenetics].

Nihon yakurigaku zasshi. Folia pharmacologica Japonica
We are constructing the "Percellome Database" containing many transcriptomes of mice exposed to a series of chemicals to elucidate the molecular mechanism of toxicity and to develop toxicity prediction technology. Acute toxicity of a chemical can be ...

Personal Dense Dynamic Data Clouds Connect Systems Biomedicine to Scientific Wellness.

Methods in molecular biology (Clifton, N.J.)
The dramatic convergence of molecular biology, genomics, proteomics, metabolomics, bioinformatics, and artificial intelligence has provided a substrate for deep understanding of the biological basis of health and disease. Systems biology is a holisti...

Artificial Intelligence for Vaccine Design.

Methods in molecular biology (Clifton, N.J.)
Often likened to "the new electricity," artificial intelligence (AI) has broad and sweeping impact in many areas. Perhaps most exciting among these are in bioinformatics as AI allows for new and increasingly powerful ways of understanding genomics, p...

A Method for Localizing Non-Reference Sequences to the Human Genome.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
As the last decade of human genomics research begins to bear the fruit of advancements in precision medicine, it is important to ensure that genomics' improvements in human health are distributed globally and equitably. An important step to ensuring ...

[Application of Artificial Intelligence in Clinical Genomics].

Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae
Clinical genomics mainly studies the clinical application of genomics in diagnosis,treatment decision,and prognosis prediction.Artificial intelligence enables the processing of complex and massive data in genomics which are difficult to be dealt with...

Machine learning integrates genomic signatures for subclassification beyond primary and secondary acute myeloid leukemia.

Blood
Although genomic alterations drive the pathogenesis of acute myeloid leukemia (AML), traditional classifications are largely based on morphology, and prototypic genetic founder lesions define only a small proportion of AML patients. The historical su...