Genetics

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

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Showing 1282-1302 of 10,366 articles
Self-improving generative foundation model for synthetic medical image generation and clinical applications.

In many clinical and research settings, the scarcity of high-quality medical imaging datasets has ha...

Mapping the functional network of human cancer through machine learning and pan-cancer proteogenomics.

Large-scale omics profiling has uncovered a vast array of somatic mutations and cancer-associated pr...

Role of artificial intelligence in cancer detection using protein p53: A Review.

Normal cell development and prevention of tumor formation rely on the tumor-suppressor protein p53. ...

Towards AI-designed genomes using a variational autoencoder.

Genomes encode elaborate networks of genes whose products must seamlessly interact to support living...

An End-to-End Knowledge Graph Fused Graph Neural Network for Accurate Protein-Protein Interactions Prediction.

Protein-protein interactions (PPIs) are essential to understanding cellular mechanisms, signaling ne...

LEC-Codec: Learning-Based Genome Data Compression.

In this paper, we propose a Learning-based gEnome Codec (LEC), which is designed for high efficiency...

GenoM7GNet: An Efficient N-Methylguanosine Site Prediction Approach Based on a Nucleotide Language Model.

N-methylguanosine (m7G), one of the mainstream post-transcriptional RNA modifications, occupies an e...

Ense-i6mA: Identification of DNA N-Methyladenine Sites Using XGB-RFE Feature Selection and Ensemble Machine Learning.

DNA N-methyladenine (6mA) is an important epigenetic modification that plays a vital role in various...

Transcription Factor Binding Site Prediction Using CnNet Approach.

Controlling the gene expression is the most important development in a living organism, which makes ...

A Multi-Task Deep Feature Selection Method for Brain Imaging Genetics.

Using brain imaging quantitative traits (QTs) for identifying genetic risk factors is an important r...

Automatic identification of clinically important species by artificial intelligence-based image recognition: proof-of-concept study.

While morphological examination is the most widely used for identification in clinical laboratories...

FertilitY Predictor-a machine learning-based web tool for the prediction of assisted reproduction outcomes in men with Y chromosome microdeletions.

PURPOSE: Y chromosome microdeletions (YCMD) are a common cause of azoospermia and oligozoospermia in...

Neurodegeneration: 2024 update.

This review highlights a collection of both diverse and highly impactful studies published in the pr...

Self-distillation improves self-supervised learning for DNA sequence inference.

Self-supervised Learning (SSL) has been recognized as a method to enhance prediction accuracy in var...

DRGAT: Predicting Drug Responses Via Diffusion-Based Graph Attention Network.

Accurately predicting drug response depending on a patient's genomic profile is critical for advanci...

AI-driven feature selection and epigenetic pattern analysis: A screening strategy of CpGs validated by pyrosequencing for body fluid identification.

Identification of body fluid stain at crime scene is one of the important tasks of forensic evidence...

MDMNI-DGD: A novel graph neural network approach for druggable gene discovery based on the integration of multi-omics data and the multi-view network.

Accurately predicting druggable genes is of paramount importance for enhancing the efficacy of targe...

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