Genetics

Genetics

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

11,117 articles

Subcategories: Genetics

Showing 4411-4431 of 11,117 articles

Literature Mining and Mechanistic Graphical Modelling to Improve mRNA Vaccine Platforms.

RNA vaccines represent a milestone in the history of vaccinology. They provide several advantages ov...

Sep 2021 34557200

In utero exposure to electronic-cigarette aerosols decreases lung fibrillar collagen content, increases Newtonian resistance and induces sex-specific molecular signatures in neonatal mice.

Approximately 7% of pregnant women in the United States use electronic-cigarette (e-cig) devices dur...

Sep 2021 35415078

NanoCaller for accurate detection of SNPs and indels in difficult-to-map regions from long-read sequencing by haplotype-aware deep neural networks.

Long-read sequencing enables variant detection in genomic regions that are considered difficult-to-m...

Sep 2021 34488830

Multitrait machine- and deep-learning models for genomic selection using spectral information in a wheat breeding program.

Prediction of breeding values is central to plant breeding and has been revolutionized by the adopti...

Sep 2021 34482627

Identifying the predictive effectiveness of a genetic risk score for incident hypertension using machine learning methods among populations in rural China.

Current studies have shown the controversial effect of genetic risk scores (GRSs) in hypertension pr...

Sep 2021 34480134

rBPDL:Predicting RNA-Binding Proteins Using Deep Learning.

RNA-binding protein (RBP) is a powerful and wide-ranging regulator that plays an important role in c...

Sep 2021 33780344

Chemometric quality assessment of Paracetamol and Phenylephrine Hydrochloride with Paracetamol impurities; comparative UV-spectrophotometric implementation of four predictive models.

Spectrophotometric data analysis using multivariate approaches has many useful applications. One of ...

Sep 2021 34509889

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Literature Mining and Mechanistic Graphical Modelling to Improve mRNA Vaccine Platforms.

In utero exposure to electronic-cigarette aerosols decreases lung fibrillar collagen content, increases Newtonian resistance and induces sex-specific molecular signatures in neonatal mice.

NanoCaller for accurate detection of SNPs and indels in difficult-to-map regions from long-read sequencing by haplotype-aware deep neural networks.

Multitrait machine- and deep-learning models for genomic selection using spectral information in a wheat breeding program.

Identifying the predictive effectiveness of a genetic risk score for incident hypertension using machine learning methods among populations in rural China.

rBPDL:Predicting RNA-Binding Proteins Using Deep Learning.

Chemometric quality assessment of Paracetamol and Phenylephrine Hydrochloride with Paracetamol impurities; comparative UV-spectrophotometric implementation of four predictive models.

Delivery mode and perinatal antibiotics influence the predicted metabolic pathways of the gut microbiome.

Identification of Autistic Risk Candidate Genes and Toxic Chemicals via Multilabel Learning.

Chemotherapeutic potential of Cayratia trifolia L nhexane extract on A2780 cells.

English Feature Recognition Based on GA-BP Neural Network Algorithm and Data Mining.

Detection of COVID-19 Using Transfer Learning and Grad-CAM Visualization on Indigenously Collected X-ray Dataset.

A Deep Learning-Enabled Electrocardiogram Model for the Identification of a Rare Inherited Arrhythmia: Brugada Syndrome.

Uncovering cancer vulnerabilities by machine learning prediction of synthetic lethality.

Gene Ontology representation for transcription factor functions.

Predicting phenotypes from genetic, environment, management, and historical data using CNNs.

Identifying novel transcript biomarkers for hepatocellular carcinoma (HCC) using RNA-Seq datasets and machine learning.

NGS and phenotypic ontology-based approaches increase the diagnostic yield in syndromic retinal diseases.

Machine Learning-Based Radiomics Signatures for EGFR and KRAS Mutations Prediction in Non-Small-Cell Lung Cancer.

Review of machine learning methods for RNA secondary structure prediction.

Using machine learning and big data to explore the drug resistance landscape in HIV.

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