Genetics

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

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DDOT: A Swiss Army Knife for Investigating Data-Driven Biological Ontologies.

Systems biology requires not only genome-scale data but also methods to integrate these data into in...

Machine learning applied to transcriptomic data to identify genes associated with feed efficiency in pigs.

BACKGROUND: To date, the molecular mechanisms that underlie residual feed intake (RFI) in pigs are u...

NetSurfP-2.0: Improved prediction of protein structural features by integrated deep learning.

The ability to predict local structural features of a protein from the primary sequence is of paramo...

Evolutionarily informed deep learning methods for predicting relative transcript abundance from DNA sequence.

Deep learning methodologies have revolutionized prediction in many fields and show potential to do t...

Detection of chromosome structural variation by targeted next-generation sequencing and a deep learning application.

Molecular testing is increasingly important in cancer diagnosis. Targeted next generation sequencing...

Using Machine Learning to Predict Sensorineural Hearing Loss Based on Perilymph Micro RNA Expression Profile.

Hearing loss (HL) is the most common neurodegenerative disease worldwide. Despite its prevalence, cl...

Deep convolutional neural networks for accurate somatic mutation detection.

Accurate detection of somatic mutations is still a challenge in cancer analysis. Here we present Neu...

Machine learning approaches outperform distance- and tree-based methods for DNA barcoding of Pterocarpus wood.

Machine-learning approaches (MLAs) for DNA barcoding outperform distance- and tree-based methods on ...

RPITER: A Hierarchical Deep Learning Framework for ncRNA⁻Protein Interaction Prediction.

Non-coding RNAs (ncRNAs) play crucial roles in multiple fundamental biological processes, such as po...

A multi-task convolutional deep neural network for variant calling in single molecule sequencing.

The accurate identification of DNA sequence variants is an important, but challenging task in genomi...

MMSplice: modular modeling improves the predictions of genetic variant effects on splicing.

Predicting the effects of genetic variants on splicing is highly relevant for human genetics. We des...

Introducing high school students to the Gene Ontology classification system.

We present a tutorial that introduces high school students to the Gene Ontology classification syste...

MaGIC: a machine learning tool set and web application for monoallelic gene inference from chromatin.

BACKGROUND: A large fraction of human and mouse autosomal genes are subject to random monoallelic ex...

Multiple Machine Learning Comparisons of HIV Cell-based and Reverse Transcriptase Data Sets.

The human immunodeficiency virus (HIV) causes over a million deaths every year and has a huge econom...

Mechanism of glucocerebrosidase activation and dysfunction in Gaucher disease unraveled by molecular dynamics and deep learning.

The lysosomal enzyme glucocerebrosidase-1 (GCase) catalyzes the cleavage of a major glycolipid gluco...

Unlocking HDR-mediated nucleotide editing by identifying high-efficiency target sites using machine learning.

Editing individual nucleotides is a crucial component for validating genomic disease association. It...

Arabic Sentiment Classification Using Convolutional Neural Network and Differential Evolution Algorithm.

In recent years, convolutional neural network (CNN) has attracted considerable attention since its i...

DeepDDG: Predicting the Stability Change of Protein Point Mutations Using Neural Networks.

Accurately predicting changes in protein stability due to mutations is important for protein enginee...

Network abnormalities among non-manifesting Parkinson disease related LRRK2 mutation carriers.

Non-manifesting carriers (NMC) of the G2019S mutation in the LRRK2 gene represent an "at risk" group...

Deoxyribonuclease I Activity, Cell-Free DNA, and Risk of Liver Cancer in a Prospective Cohort.

BACKGROUND: Circulating cell-free DNA (cfDNA) is a proposed latent biomarker for several cancers, in...

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