Genetics

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

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Single-Cell Sequencing Analysis and Multiple Machine Learning Methods Identified G0S2 and HPSE as Novel Biomarkers for Abdominal Aortic Aneurysm.

Identifying biomarkers for abdominal aortic aneurysms (AAA) is key to understanding their pathogenes...

Image super-resolution with an enhanced group convolutional neural network.

CNNs with strong learning abilities are widely chosen to resolve super-resolution problem. However, ...

Can machines learn the mutation signatures of SARS-CoV-2 and enable viral-genotype guided predictive prognosis?

MOTIVATION: Continuous emergence of new variants through appearance/accumulation/disappearance of mu...

A deep learning model to classify neoplastic state and tissue origin from transcriptomic data.

Application of deep learning methods to transcriptomic data has the potential to enhance the accurac...

Design and optimization of wall-climbing robot impeller by genetic algorithm based on computational fluid dynamics and kriging model.

In recent years, wall-climbing robots have begun to replace manual work at heights to reduce economi...

Using deep learning to detect digitally encoded DNA trigger for Trojan malware in Bio-Cyber attacks.

This article uses Deep Learning technologies to safeguard DNA sequencing against Bio-Cyber attacks. ...

Mathematical approach for segmenting chromosome clusters in metaspread images.

Karyotyping is an examination that helps in detecting chromosomal abnormalities. Chromosome analysis...

Generalized genomic data sharing for differentially private federated learning.

The success behind Machine Learning (ML) methods has largely been attributed to the quality and quan...

Multiclass Cancer Prediction Based on Copy Number Variation Using Deep Learning.

DNA copy number variation (CNV) is the type of DNA variation which is associated with various human ...

Deep learning-based transcription factor activity for stratification of breast cancer patients.

Transcription factors directly bind to DNA and regulate the expression of the gene, causing epigenet...

STEM Image Analysis Based on Deep Learning: Identification of Vacancy Defects and Polymorphs of MoS.

Scanning transmission electron microscopy (STEM) is an indispensable tool for atomic-resolution stru...

EMDLP: Ensemble multiscale deep learning model for RNA methylation site prediction.

BACKGROUND: Recent research recommends that epi-transcriptome regulation through post-transcriptiona...

An equilibrium optimizer slime mould algorithm for inverse kinematics of the 7-DOF robotic manipulator.

In order to solve the inverse kinematics (IK) of complex manipulators efficiently, a hybrid equilibr...

The effect of canard's optimum geometric design on wake control behind the car using Artificial Neural Network and Genetic Algorithm.

Canard is a cutting-edge aerodynamic attachment for lowering the vehicle's drag coefficient by effic...

Machine Learning Study of Metabolic Networks ChEMBL Data of Antibacterial Compounds.

Antibacterial drugs (AD) change the metabolic status of bacteria, contributing to bacterial death. H...

Sequence-assignment validation in cryo-EM models with checkMySequence.

The availability of new artificial intelligence-based protein-structure-prediction tools has radical...

Characterizing collaborative transcription regulation with a graph-based deep learning approach.

Human epigenome and transcription activities have been characterized by a number of sequence-based d...

Research on Image Segmentation Algorithm Based on Multimodal Hierarchical Attention Mechanism and Genetic Neural Network.

Multimodal tasks based on attention mechanism and language face numerous problems. Based on multimod...

Predicting CRISPR/Cas9 Repair Outcomes by Attention-Based Deep Learning Framework.

As a simple and programmable nuclease-based genome editing tool, the CRISPR/Cas9 system has been wid...

An Animation Model Generation Method Based on Gaussian Mutation Genetic Algorithm to Optimize Neural Network.

With the rapid development of computer graphics, 3D animation has been applied to all fields of peop...

DiaDeL: An Accurate Deep Learning-Based Model With Mutational Signatures for Predicting Metastasis Stage and Cancer Types.

Mutational signatures help identify cancer-associated genes that are being involved in tumorigenesis...

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