Genetics

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

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PBMDR: A particle swarm optimization-based multifactor dimensionality reduction for the detection of multilocus interactions.

Studies on multilocus interactions have mainly investigated the associations between genetic variati...

A semi-supervised deep learning method based on stacked sparse auto-encoder for cancer prediction using RNA-seq data.

BACKGROUND AND OBJECTIVE: Cancer has become a complex health problem due to its high mortality. Over...

Gene Regulatory Relationship Mining Using Improved Three-Phase Dependency Analysis Approach.

How to mine the gene regulatory relationship and construct gene regulatory network (GRN) is of utmos...

A Hybrid Feature Selection Method Based on Binary State Transition Algorithm and ReliefF.

Feature selection problems often appear in the application of data mining, which have been difficult...

WEADE: A workflow for enrichment analysis and data exploration.

Data analysis based on enrichment of Gene Ontology terms has become an important step in exploring l...

Gene ontology enrichment analysis of congenital diaphragmatic hernia-associated genes.

Congenital diaphragmatic hernia (CDH) is a commonly occurring major congenital anomaly with a profou...

Support Vector Machine Optimized by Genetic Algorithm for Data Analysis of Near-Infrared Spectroscopy Sensors.

Near-infrared (NIR) spectral sensors deliver the spectral response of the light absorbed by material...

A universal SNP and small-indel variant caller using deep neural networks.

Despite rapid advances in sequencing technologies, accurately calling genetic variants present in an...

SiRNA silencing efficacy prediction based on a deep architecture.

BACKGROUND: Small interfering RNA (siRNA) can be used to post-transcriptional gene regulation by kno...

Machine Learning for detection of viral sequences in human metagenomic datasets.

BACKGROUND: Detection of highly divergent or yet unknown viruses from metagenomics sequencing datase...

Comprehensive urinary metabolomic characterization of a genetically induced mouse model of prostatic inflammation.

Dysfunction of the lower urinary tract commonly afflicts the middle-aged and aging male population. ...

Deep learning-based quantification of abdominal fat on magnetic resonance images.

Obesity is increasingly prevalent and associated with increased risk of developing type 2 diabetes, ...

Memetic Search Optimization Along with Genetic Scale Recurrent Neural Network for Predictive Rate of Implant Treatment.

Implant treatment is one of the most important surgical processes in teeth which reduces the difficu...

Fuzzy entropy based on differential evolution for breast gland segmentation.

For the diagnosis and treatment of breast tumors, the automatic detection of glands is a crucial ste...

Universal method for robust detection of circadian state from gene expression.

Circadian clocks play a key role in regulating a vast array of biological processes, with significan...

AluScanCNV2: An R package for copy number variation calling and cancer risk prediction with next-generation sequencing data.

The usage of next-generation sequencing (NGS) to detect copy number variation (CNV) is widely accept...

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