Genetics

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

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A deep learning framework combined with word embedding to identify DNA replication origins.

The DNA replication influences the inheritance of genetic information in the DNA life cycle. As the ...

Machine learning reveals bilateral distribution of somatic L1 insertions in human neurons and glia.

Retrotransposons can cause somatic genome variation in the human nervous system, which is hypothesiz...

GVES: machine learning model for identification of prognostic genes with a small dataset.

Machine learning may be a powerful approach to more accurate identification of genes that may serve ...

A deep learning model for diagnosing dystrophinopathies on thigh muscle MRI images.

BACKGROUND: Dystrophinopathies are the most common type of inherited muscular diseases. Muscle biops...

DNA sequences performs as natural language processing by exploiting deep learning algorithm for the identification of N4-methylcytosine.

N4-methylcytosine is a biochemical alteration of DNA that affects the genetic operations without mod...

Machine learning based CRISPR gRNA design for therapeutic exon skipping.

Restoring gene function by the induced skipping of deleterious exons has been shown to be effective ...

TargetDBP+: Enhancing the Performance of Identifying DNA-Binding Proteins via Weighted Convolutional Features.

Protein-DNA interactions exist ubiquitously and play important roles in the life cycles of living ce...

An interpretable bimodal neural network characterizes the sequence and preexisting chromatin predictors of induced transcription factor binding.

BACKGROUND: Transcription factor (TF) binding specificity is determined via a complex interplay betw...

Optimal tuning of weighted kNN- and diffusion-based methods for denoising single cell genomics data.

The analysis of single-cell genomics data presents several statistical challenges, and extensive eff...

Generating real-world evidence from unstructured clinical notes to examine clinical utility of genetic tests: use case in BRCAness.

BACKGROUND: Next-generation sequencing provides comprehensive information about individuals' genetic...

A review of deep learning applications for genomic selection.

BACKGROUND: Several conventional genomic Bayesian (or no Bayesian) prediction methods have been prop...

PCirc: random forest-based plant circRNA identification software.

BACKGROUND: Circular RNA (circRNA) is a novel type of RNA with a closed-loop structure. Increasing n...

Osteoarthritis year in review 2020: imaging.

This narrative "Year in Review" highlights a selection of articles published between January 2019 an...

Discovering and Visualizing Disease-Specific Electrocardiogram Features Using Deep Learning: Proof-of-Concept in Phospholamban Gene Mutation Carriers.

BACKGROUND: ECG interpretation requires expertise and is mostly based on physician recognition of sp...

iPTT(2 L)-CNN: A Two-Layer Predictor for Identifying Promoters and Their Types in Plant Genomes by Convolutional Neural Network.

A promoter is a short DNA sequence near to the start codon, responsible for initiating transcription...

Learning Student Networks via Feature Embedding.

Deep convolutional neural networks have been widely used in numerous applications, but their demandi...

sgRNACNN: identifying sgRNA on-target activity in four crops using ensembles of convolutional neural networks.

We proposed an ensemble convolutional neural network model to identify sgRNA high on-target activity...

Utilization of circulating cell-free DNA profiling to guide first-line chemotherapy in advanced lung squamous cell carcinoma.

Platinum-based chemotherapy is one of treatment mainstay for patients with advanced lung squamous c...

Semi-supervised learning for somatic variant calling and peptide identification in personalized cancer immunotherapy.

BACKGROUND: Personalized cancer vaccines are emerging as one of the most promising approaches to imm...

Evolution of drug resistance in HIV protease.

BACKGROUND: Drug resistance is a critical problem limiting effective antiviral therapy for HIV/AIDS....

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