Genetics

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

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Showing 3970-3990 of 10,472 articles
A Deep Learning Framework Identifies Pathogenic Noncoding Somatic Mutations from Personal Prostate Cancer Genomes.

Our understanding of noncoding mutations in cancer genomes has been derived primarily from mutationa...

Unsupervised Clustering of Missense Variants in HNF1A Using Multidimensional Functional Data Aids Clinical Interpretation.

Exome sequencing in diabetes presents a diagnostic challenge because depending on frequency, functio...

Identification of the human DPR core promoter element using machine learning.

The RNA polymerase II (Pol II) core promoter is the strategic site of convergence of the signals tha...

Molecular barcoding of native RNAs using nanopore sequencing and deep learning.

Nanopore sequencing enables direct measurement of RNA molecules without conversion to cDNA, thus ope...

Incomplete multi-view gene clustering with data regeneration using Shape Boltzmann Machine.

Deciphering patterns in the structural and functional anatomy of genes can prove to be very helpful ...

MosaicBase: A Knowledgebase of Postzygotic Mosaic Variants in Noncancer Disease-related and Healthy Human Individuals.

Mosaic variants resulting from postzygotic mutations are prevalent in the human genome and play impo...

Fluence Map Prediction Using Deep Learning Models - Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy.

Treatment planning for pancreas stereotactic body radiation therapy (SBRT) is a difficult and time-...

PCR-detectable DNA exists a short period in the blood of systemic candidiasis murine model.

Invasive candidiasis is a major challenge to clinical medicine today. However, traditional fungal di...

Genomic risk scores for juvenile idiopathic arthritis and its subtypes.

OBJECTIVES: Juvenile idiopathic arthritis (JIA) is an autoimmune disease and a common cause of chron...

Sequence-enabled community-based microbial source tracking in surface waters using machine learning classification: A review.

The development of Microbial Source Tracking (MST) technologies was borne out of necessity. This was...

Predicting Progression to Advanced Age-Related Macular Degeneration from Clinical, Genetic, and Lifestyle Factors Using Machine Learning.

PURPOSE: Current prediction models for advanced age-related macular degeneration (AMD) are based on ...

Multi-Responsive Bottlebrush-Like Unimolecules Self-Assembled Nano-Riceball for Synergistic Sono-Chemotherapy.

Improved drug loading content, bioavailability, and controlled release in targeted tissue have been ...

L-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification.

With the development of cancer research, various gene expression datasets containing cancer informat...

Exploring gene-gene interaction in family-based data with an unsupervised machine learning method: EPISFA.

Gene-gene interaction (G × G) is thought to fill the gap between the estimated heritability of compl...

Piloting a Deep Learning Model for Predicting Nuclear BAP1 Immunohistochemical Expression of Uveal Melanoma from Hematoxylin-and-Eosin Sections.

BACKGROUND: Uveal melanoma (UM) is the most common primary intraocular malignancy in adults. Monosom...

Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (AI-LAMP) for Rapid Detection of SARS-CoV-2.

Until vaccines and effective therapeutics become available, the practical solution to transit safely...

Robotic environmental DNA bio-surveillance of freshwater health.

Autonomous water sampling technologies may help to overcome the human resource challenges of monitor...

DeepVariant-on-Spark: Small-Scale Genome Analysis Using a Cloud-Based Computing Framework.

Although sequencing a human genome has become affordable, identifying genetic variants from whole-ge...

Frequency spectra characterization of noncoding human genomic sequences.

BACKGROUND: Noncoding sequences have been demonstrated to possess regulatory functions. Its classifi...

Assessing Public Opinion on CRISPR-Cas9: Combining Crowdsourcing and Deep Learning.

BACKGROUND: The discovery of the CRISPR-Cas9-based gene editing method has opened unprecedented new ...

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