AI Medical Compendium Topic:
Genomics

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Computational aspects underlying genome to phenome analysis in plants.

The Plant journal : for cell and molecular biology
Recent advances in genomics technologies have greatly accelerated the progress in both fundamental plant science and applied breeding research. Concurrently, high-throughput plant phenotyping is becoming widely adopted in the plant community, promisi...

SpliceRover: interpretable convolutional neural networks for improved splice site prediction.

Bioinformatics (Oxford, England)
MOTIVATION: During the last decade, improvements in high-throughput sequencing have generated a wealth of genomic data. Functionally interpreting these sequences and finding the biological signals that are hallmarks of gene function and regulation is...

PANOPLY: Omics-Guided Drug Prioritization Method Tailored to an Individual Patient.

JCO clinical cancer informatics
PURPOSE: The majority of patients with cancer receive treatments that are minimally informed by omics data. We propose a precision medicine computational framework, PANOPLY (Precision Cancer Genomic Report: Single Sample Inventory), to identify and p...

Deep learning for healthcare: review, opportunities and challenges.

Briefings in bioinformatics
Gaining knowledge and actionable insights from complex, high-dimensional and heterogeneous biomedical data remains a key challenge in transforming health care. Various types of data have been emerging in modern biomedical research, including electron...

Predicting reservoir hosts and arthropod vectors from evolutionary signatures in RNA virus genomes.

Science (New York, N.Y.)
Identifying the animal origins of RNA viruses requires years of field and laboratory studies that stall responses to emerging infectious diseases. Using large genomic and ecological datasets, we demonstrate that animal reservoirs and the existence an...

Machine learning and genomics: precision medicine versus patient privacy.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Machine learning can have a major societal impact in computational biology applications. In particular, it plays a central role in the development of precision medicine, whereby treatment is tailored to the clinical or genetic features of the patient...

Towards an accurate and efficient heuristic for species/gene tree co-estimation.

Bioinformatics (Oxford, England)
MOTIVATION: Species and gene trees represent how species and individual loci within their genomes evolve from their most recent common ancestors. These trees are central to addressing several questions in biology relating to, among other issues, spec...

Discovering epistatic feature interactions from neural network models of regulatory DNA sequences.

Bioinformatics (Oxford, England)
MOTIVATION: Transcription factors bind regulatory DNA sequences in a combinatorial manner to modulate gene expression. Deep neural networks (DNNs) can learn the cis-regulatory grammars encoded in regulatory DNA sequences associated with transcription...

GARFIELD-NGS: Genomic vARiants FIltering by dEep Learning moDels in NGS.

Bioinformatics (Oxford, England)
SUMMARY: Exome sequencing approach is extensively used in research and diagnostic laboratories to discover pathological variants and study genetic architecture of human diseases. However, a significant proportion of identified genetic variants are ac...

[Advances in the application of artificial intelligence in cancer diagnosis and treatment].

Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology
The application of artificial intelligence is developing rapidly in various fields with the improvement of computing power, big data processing, and diversity of algorithms. It has a great potential value in the field of medical and healthcare, espec...