Genetics

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

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Comparative Analysis of Aesthetic Emotion of Dance Movement: A Deep Learning Based Approach.

Dance is a unique art with the human body movement as the main means, but dance is not limited to th...

IoMT-Based Mitochondrial and Multifactorial Genetic Inheritance Disorder Prediction Using Machine Learning.

A genetic disorder is a serious disease that affects a large number of individuals around the world....

Teaching Analysis for Visual Communication Design with the Perspective of Digital Technology.

The turn of contemporary visual culture has led to the expansion of the connotation and scope of vis...

On the Tuning of the Computation Capability of Spiking Neural Membrane Systems with Communication on Request.

Spiking neural P systems (abbreviated as SNP systems) are models of computation that mimic the behav...

Graph Neural Network with Self-Supervised Learning for Noncoding RNA-Drug Resistance Association Prediction.

Noncoding RNA(ncRNA) is closely related to drug resistance. Identifying the association between ncRN...

Explainable deep transfer learning model for disease risk prediction using high-dimensional genomic data.

Building an accurate disease risk prediction model is an essential step in the modern quest for prec...

Machine Learning Approaches to TCR Repertoire Analysis.

Sparked by the development of genome sequencing technology, the quantity and quality of data handled...

Leveraging a Neuroevolutionary Approach for Classifying Violent Behavior in Video.

Security has become a critical issue for complex and expensive systems and day-to-day situations. In...

BERT-Promoter: An improved sequence-based predictor of DNA promoter using BERT pre-trained model and SHAP feature selection.

A promoter is a sequence of DNA that initializes the process of transcription and regulates whenever...

Deep Learning Automation of Kidney, Liver, and Spleen Segmentation for Organ Volume Measurements in Autosomal Dominant Polycystic Kidney Disease.

Organ volume measurements are a key metric for managing ADPKD (the most common inherited renal disea...

Moving closer to experimental level materials property prediction using AI.

While experiments and DFT-computations have been the primary means for understanding the chemical an...

Non-iterative learning machine for identifying CoViD19 using chest X-ray images.

CoViD19 is a novel disease which has created panic worldwide by infecting millions of people around ...

A Pipeline for the Implementation and Visualization of Explainable Machine Learning for Medical Imaging Using Radiomics Features.

Machine learning (ML) models have been shown to predict the presence of clinical factors from medica...

scDLC: a deep learning framework to classify large sample single-cell RNA-seq data.

BACKGROUND: Using single-cell RNA sequencing (scRNA-seq) data to diagnose disease is an effective te...

Semantic segmentation of human cell nucleus using deep U-Net and other versions of U-Net models.

The deep learning models play an essential role in many areas, including medical image analysis. The...

A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation.

BACKGROUND: DNA Methylation is one of the most important epigenetic processes that are crucial to re...

Genetics and Epigenetics in Personalized Nutrition: Evidence, Expectations, and Experiences.

With the presentation of the blueprint of the first human genome in 2001 and the advent of technolog...

A web server for identifying circRNA-RBP variable-length binding sites based on stacked generalization ensemble deep learning network.

Circular RNA (circRNA) can exert biological functions by interacting with RNA-binding protein (RBP),...

Exploring the Chinese Public's Perception of Omicron Variants on Social Media: LDA-Based Topic Modeling and Sentiment Analysis.

The COVID-19 pandemic caused by SARS-CoV-2 is still raging. Similar to other RNA viruses, SARS-COV-2...

Gene function prediction in five model eukaryotes exclusively based on gene relative location through machine learning.

The function of most genes is unknown. The best results in automated function prediction are obtaine...

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