Genetics

Latest AI and machine learning research in genetics for healthcare professionals.

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Xrare: a machine learning method jointly modeling phenotypes and genetic evidence for rare disease diagnosis.

PURPOSE: Despite the successful progress next-generation sequencing technologies has achieved in dia...

Learning from Longitudinal Data in Electronic Health Record and Genetic Data to Improve Cardiovascular Event Prediction.

Current approaches to predicting a cardiovascular disease (CVD) event rely on conventional risk fact...

A Computational Framework for Genome-wide Characterization of the Human Disease Landscape.

A key challenge for the diagnosis and treatment of complex human diseases is identifying their molec...

De novo assembly of Agave sisalana transcriptome in response to drought stress provides insight into the tolerance mechanisms.

Agave, monocotyledonous succulent plants, is endemic to arid regions of North America, exhibiting ex...

Genomic Selection in Aquaculture: Application, Limitations and Opportunities With Special Reference to Marine Shrimp and Pearl Oysters.

Within aquaculture industries, selection based on genomic information (genomic selection) has the pr...

Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives.

In the field of cancer genomics, the broad availability of genetic information offered by next-gener...

TargetDBP: Accurate DNA-Binding Protein Prediction Via Sequence-Based Multi-View Feature Learning.

Accurately identifying DNA-binding proteins (DBPs) from protein sequence information is an important...

EPAI-NC: Enhanced prediction of adenosine to inosine RNA editing sites using nucleotide compositions.

RNA editing process like Adenosine to Intosine (A-to-I) often influences basic functions like splici...

Metabarcoding and machine learning analysis of environmental DNA in ballast water arriving to hub ports.

While ballast water has long been linked to the global transport of invasive species, little is know...

Aflatoxin B Degradation and Detoxification by CG1061 Isolated From Chicken Cecum.

Aflatoxin B (AFB) is one of the most hazardous mycotoxins contamination in food and feed products, w...

A Recursive Approach to Quantized H State Estimation for Genetic Regulatory Networks Under Stochastic Communication Protocols.

This paper deals with the finite-horizon quantized H state estimation problem for a class of discret...

Machine learning framework for assessment of microbial factory performance.

Metabolic models can estimate intrinsic product yields for microbial factories, but such frameworks ...

Developmental Dioxin Exposure Alters the Methylome of Adult Male Zebrafish Gonads.

2,3,7,8-Tetrachlorodibenzo--dioxin (TCDD) is a persistent environmental toxicant and endocrine disru...

DCDE: An Efficient Deep Convolutional Divergence Encoding Method for Human Promoter Recognition.

Efficient human promoter feature extraction is still a major challenge in genome analysis as it can ...

funbarRF: DNA barcode-based fungal species prediction using multiclass Random Forest supervised learning model.

BACKGROUND: Identification of unknown fungal species aids to the conservation of fungal diversity. A...

OMeta: an ontology-based, data-driven metadata tracking system.

BACKGROUND: The development of high-throughput sequencing and analysis has accelerated multi-omics s...

Identifying facial phenotypes of genetic disorders using deep learning.

Syndromic genetic conditions, in aggregate, affect 8% of the population. Many syndromes have recogni...

Deep learning image recognition enables efficient genome editing in zebrafish by automated injections.

One of the most popular techniques in zebrafish research is microinjection. This is a rapid and effi...

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