Genetics

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

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Unsupervised Learning Approach for Comparing Multiple Transposon Insertion Sequencing Studies.

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

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...

Standardizing Automated DNA Assembly: Best Practices, Metrics, and Protocols Using Robots.

The advancement of synthetic biology requires the ability to create new DNA sequences to produce uni...

ClinTAD: a tool for copy number variant interpretation in the context of topologically associated domains.

Standard clinical interpretation of DNA copy number variants (CNVs) identified by cytogenomic microa...

Automation of the standard DNA differential extraction on the Hamilton AutoLys STAR system: A proof-of-concept study.

For several decades, a common approach for processing sexual assault evidence has been to use the "s...

Statistical outbreak detection by joining medical records and pathogen similarity.

We present a statistical inference model for the detection and characterization of outbreaks of hosp...

NCBoost classifies pathogenic non-coding variants in Mendelian diseases through supervised learning on purifying selection signals in humans.

State-of-the-art methods assessing pathogenic non-coding variants have mostly been characterized on ...

Prediction of IDH1 Mutation Status in Glioblastoma Using Machine Learning Technique Based on Quantitative Radiomic Data.

OBJECTIVE: Isocitrate dehydrogenase 1 (IDH1) mutation status is an independent favorable prognostic ...

Severe Dengue Prognosis Using Human Genome Data and Machine Learning.

UNLABELLED: Dengue has become one of the most important worldwide arthropod-borne diseases. Dengue p...

The International Conference on Intelligent Biology and Medicine (ICIBM) 2018: genomics with bigger data and wider applications.

The sixth International Conference on Intelligent Biology and Medicine (ICIBM) took place in Los Ang...

Gain determination of feedback force for an ultrasound scanning robot using genetic algorithm.

PURPOSE: The remote medical diagnosis system (RMDS) is for providing medical diagnosis to the patien...

Predicting drug response of tumors from integrated genomic profiles by deep neural networks.

BACKGROUND: The study of high-throughput genomic profiles from a pharmacogenomics viewpoint has prov...

Using Machine Learning To Predict Antimicrobial MICs and Associated Genomic Features for Nontyphoidal .

Nontyphoidal species are the leading bacterial cause of foodborne disease in the United States. Who...

Machine Learning and Integrative Analysis of Biomedical Big Data.

Recent developments in high-throughput technologies have accelerated the accumulation of massive amo...

Preparation of albendazole-loaded liposomes by supercritical carbon dioxide processing.

Supercritical fluid (SCF) technology offers a potential green alternative to organic solvent-based m...

tRNA-DL: A Deep Learning Approach to Improve tRNAscan-SE Prediction Results.

BACKGROUND: tRNAscan-SE is the leading tool for transfer RNA (tRNA) annotation, which has been widel...

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