Genetics

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

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Prognostic models in primary biliary cholangitis.

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

A novel helper qPCR system for platinum detection via Pt-DNA coordination.

A novel real-time polymerase chain reaction (qPCR) platform for the simple and robust detection of p...

Pectin extraction from Helianthus annuus (sunflower) heads using RSM and ANN modelling by a genetic algorithm approach.

In this work, Response Surface Methodology (RSM) and Artificial Neural Network coupled with genetic ...

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...

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...

Predictable and precise template-free CRISPR editing of pathogenic variants.

Following Cas9 cleavage, DNA repair without a donor template is generally considered stochastic, het...

Vibrational Properties of Metastable Polymorph Structures by Machine Learning.

Despite vibrational properties being critical for the ab initio prediction of finite-temperature sta...

In Silico Prediction of O⁶-Methylguanine-DNA Methyltransferase Inhibitory Potency of Base Analogs with QSAR and Machine Learning Methods.

O⁶-methylguanine-DNA methyltransferase (MGMT), a unique DNA repair enzyme, can confer resistance to ...

Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracy.

Precision or personalized cancer medicine is a clinical approach that strives to customize therapies...

Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis.

Epistasis learning, which is aimed at detecting associations between multiple Single Nucleotide Poly...

Nucleotide and structural label identification in single RNA molecules with quantum tunneling spectroscopy.

Although a number of advances have been made in RNA sequencing and structural characterization, the ...

A deep learning approach to automate refinement of somatic variant calling from cancer sequencing data.

Cancer genomic analysis requires accurate identification of somatic variants in sequencing data. Man...

Generalized multifactor dimensionality reduction approaches to identification of genetic interactions underlying ordinal traits.

The manifestation of complex traits is influenced by gene-gene and gene-environment interactions, an...

On String Languages Generated by Spiking Neural P Systems With Structural Plasticity.

Spiking neural P systems (SNP systems) are parallel and non-deterministic models of computation, ins...

Effective feature learning and fusion of multimodality data using stage-wise deep neural network for dementia diagnosis.

In this article, the authors aim to maximally utilize multimodality neuroimaging and genetic data fo...

Biohydrogen production under hyper salinity stress by an anaerobic sequencing batch reactor with mixed culture.

BACKGROUND: This study investigated the effect of organic loading rate (OLR) and NaCl concentration ...

Large-Scale Multi-Class Image-Based Cell Classification With Deep Learning.

Recent advances in ultra-high-throughput microscopy have enabled a new generation of cell classifica...

Gene Essentiality Analyzed by Transposon Mutagenesis and Machine Learning in a Stable Haploid Isolate of .

Knowing the full set of essential genes for a given organism provides important information about wa...

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