Genetics

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

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MichiGAN: sampling from disentangled representations of single-cell data using generative adversarial networks.

Deep generative models such as variational autoencoders (VAEs) and generative adversarial networks (...

May 2021 34016135
XGraphBoost: Extracting Graph Neural Network-Based Features for a Better Prediction of Molecular Properties.

Determining the properties of chemical molecules is essential for screening candidates similar to a ...

May 2021 34009965
Specificity of SARS-CoV-2 Real-Time PCR Improved by Deep Learning Analysis.

Real-time PCR (RT-PCR) is widely used to diagnose human pathogens. RT-PCR data are traditionally ana...

May 2021 33731417
Feasibility of predicting allele specific expression from DNA sequencing using machine learning.

Allele specific expression (ASE) concerns divergent expression quantity of alternative alleles and i...

May 2021 34012022
Role of Regulatory Non-Coding RNAs in Aggressive Thyroid Cancer: Prospective Applications of Neural Network Analysis.

Thyroid cancer (TC) is the most common endocrine malignancy. Most TCs have a favorable prognosis, wh...

May 2021 34069428
The in vitro micronucleus assay using imaging flow cytometry and deep learning.

The in vitro micronucleus (MN) assay is a well-established assay for quantification of DNA damage, a...

May 2021 34006858
An improved DNA-binding hot spot residues prediction method by exploring interfacial neighbor properties.

BACKGROUND: DNA-binding hot spots are dominant and fundamental residues that contribute most of the ...

May 2021 34000983
Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic.

The advancement of technology remained an immersive interest for humankind throughout the past decad...

May 2021 34082281
Identification of potential genomic biomarkers for Parkinson's disease using data pooling of gene expression microarrays.

In this study, we aimed to identify potential diagnostic biomarkers Parkinson's disease (PD) by exp...

May 2021 33988461
A convolution based computational approach towards DNA N6-methyladenine site identification and motif extraction in rice genome.

DNA N6-methylation (6mA) in Adenine nucleotide is a post replication modification responsible for ma...

May 2021 33990665
Kernel machine SNP set analysis finds the association of BUD13, ZPR1, and APOA5 variants with metabolic syndrome in Tehran Cardio-metabolic Genetics Study.

Metabolic syndrome (MetS) is one of the most important risk factors for cardiovascular disease. The ...

May 2021 33986338
Prediction of functional outcomes of schizophrenia with genetic biomarkers using a bagging ensemble machine learning method with feature selection.

Genetic variants such as single nucleotide polymorphisms (SNPs) have been suggested as potential mol...

May 2021 33986383
Global importance analysis: An interpretability method to quantify importance of genomic features in deep neural networks.

Deep neural networks have demonstrated improved performance at predicting the sequence specificities...

May 2021 33983921
Red blood cell phenotyping from 3D confocal images using artificial neural networks.

The investigation of cell shapes mostly relies on the manual classification of 2D images, causing a ...

May 2021 33983926
PlncRNA-HDeep: plant long noncoding RNA prediction using hybrid deep learning based on two encoding styles.

BACKGROUND: Long noncoding RNAs (lncRNAs) play an important role in regulating biological activities...

May 2021 33980138
Artificial intelligence modeling to predict transmembrane pressure in anaerobic membrane bioreactor-sequencing batch reactor during biohydrogen production.

The complex nature of wastewater treatment has led to search for alternative strategies such as diff...

May 2021 33984638
Integration of machine learning and genome-scale metabolic modeling identifies multi-omics biomarkers for radiation resistance.

Resistance to ionizing radiation, a first-line therapy for many cancers, is a major clinical challen...

May 2021 33976213
Generative adversarial network for glioblastoma ensures morphologic variations and improves diagnostic model for isocitrate dehydrogenase mutant type.

Generative adversarial network (GAN) creates synthetic images to increase data quantity, but whether...

May 2021 33972663
Predicting mean ribosome load for 5'UTR of any length using deep learning.

The 5' untranslated region plays a key role in regulating mRNA translation and consequently protein ...

May 2021 33970899
Radiologists versus Deep Convolutional Neural Networks: A Comparative Study for Diagnosing COVID-19.

The reverse transcriptase polymerase chain reaction (RT-PCR) is still the routinely used test for th...

May 2021 34055034
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