Genetics

Genetics

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

11,138 articles

Subcategories: Genetics

Showing 5503-5523 of 11,138 articles

Label-Free Pathogen Detection by a Deoxyribozyme Cascade with Visual Signal Readout.

A colorimetric nucleic acid based test for label-free pathogen detection has been developed and used...

Nov 2018 31462856

Deep learning identifies genome-wide DNA binding sites of long noncoding RNAs.

Long noncoding RNAs (lncRNAs) can exert their function by interacting with the DNA via triplex struc...

Nov 2018 30486737

RNA3DCNN: Local and global quality assessments of RNA 3D structures using 3D deep convolutional neural networks.

Quality assessment is essential for the computational prediction and design of RNA tertiary structur...

Nov 2018 30481171

Sensitive detection of uracil-DNA glycosylase (UDG) activity based on terminal deoxynucleotidyl transferase-assisted formation of fluorescent copper nanoclusters (CuNCs).

As an important base excision repair (BER) enzyme, uracil-DNA glycosylase (UDG) can repair the uraci...

Nov 2018 30625549

A versatile assay for alkaline phosphatase detection based on thymine-Hg-thymine structure generation mediated by TdT.

Alkaline phosphatase (ALP) is a vital hydrolysis enzyme in phosphate metabolism, which catalyzes the...

Nov 2018 30625584

Deleterious Non-Synonymous Single Nucleotide Polymorphism Predictions on Human Transcription Factors.

Transcription factors (TFs) are the major components of human gene regulation. In particular, they b...

Nov 2018 30475727

Machine Learning Methods as a Tool for Predicting Risk of Illness Applying Next-Generation Sequencing Data.

Next-generation sequencing (NGS) data present an untapped potential to improve microbial risk assess...

Nov 2018 30462833

Changes in the expression of four ABC transporter genes in response to imidacloprid in Bemisia tabaci Q (Hemiptera: Aleyrodidae).

Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae), a globally invasive species complex that causes...

Nov 2018 30744887

Deep learning architectures for prediction of nucleosome positioning from sequences data.

BACKGROUND: Nucleosomes are DNA-histone complex, each wrapping about 150 pairs of double-stranded DN...

Nov 2018 30453896

Bi-stream CNN Down Syndrome screening model based on genotyping array.

BACKGROUND: Human Down syndrome (DS) is usually caused by genomic micro-duplications and dosage imba...

Nov 2018 30453947

Gene Ontology-based function prediction of long non-coding RNAs using bi-random walk.

BACKGROUND: With the development of sequencing technology, more and more long non-coding RNAs (lncRN...

Nov 2018 30453964

Deepbinner: Demultiplexing barcoded Oxford Nanopore reads with deep convolutional neural networks.

Multiplexing, the simultaneous sequencing of multiple barcoded DNA samples on a single flow cell, ha...

Nov 2018 30458005

Evaluation of the bias and precision of regression techniques and machine learning approaches in total dissolved solids modeling of an urban aquifer.

TDS is modeled for an aquifer near an unlined landfill in Canada. Canadian Drinking Water Guidelines...

Nov 2018 30456617

Molecular prevalence of parvovirus B19 among HIV1-infected patients in Iran.

Different outcomes of parvovirus B19 (B19V) infection in immunocompromised patients, including HIV1...

Nov 2018 30815408

A machine learning approach for reliable prediction of amino acid interactions and its application in the directed evolution of enantioselective enzymes.

Directed evolution is an important research activity in synthetic biology and biotechnology. Numerou...

Nov 2018 30425279

Prognostic models in primary biliary cholangitis.

Risk prediction modelling is important to better understand the determinants of the course and outco...

Nov 2018 30420264

Modeling and Predicting the Activities of Trans-Acting Splicing Factors with Machine Learning.

Alternative splicing (AS) is generally regulated by trans-splicing factors that specifically bind to...

Nov 2018 30414922

A Deep Neural Network Model using Random Forest to Extract Feature Representation for Gene Expression Data Classification.

In predictive model development, gene expression data is associated with the unique challenge that t...

Nov 2018 30405137

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