Genetics

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

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Showing 5398-5418 of 11,138 articles
Machine Learning Prediction of DNA Charge Transport.

First-principles calculations of charge transfer in DNA molecules are computationally expensive give...

Mar 2019 30865456
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...

Mar 2019 30866799
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...

Mar 2019 30785653
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...

Mar 2019 30842277
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...

Mar 2019 30842562
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...

Mar 2019 30833567
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 ...

Mar 2019 30825008
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...

Mar 2019 30824707
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...

Mar 2019 30832218
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...

Mar 2019 31431825
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...

Feb 2019 30819107
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...

Feb 2019 30779585
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...

Feb 2019 30808805
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...

Feb 2019 30808944
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...

Feb 2019 30936911
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...

Feb 2019 30793410
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...

Feb 2019 30815627
Unsupervised Learning Approach for Comparing Multiple Transposon Insertion Sequencing Studies.

Transposon insertion sequencing (TIS) is a widely used technique for conducting genome-scale forward...

Feb 2019 30787116
Predicting overall survival of patients with hepatocellular carcinoma using a three-category method based on DNA methylation and machine learning.

Hepatocellular carcinoma (HCC) is closely associated with abnormal DNA methylation. In this study, w...

Feb 2019 30784182
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