Genetics

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

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DeepPGD: A Deep Learning Model for DNA Methylation Prediction Using Temporal Convolution, BiLSTM, and Attention Mechanism.

As part of the field of DNA methylation identification, this study tackles the challenge of enhancin...

Single-cell RNA sequencing data analysis utilizing multi-type graph neural networks.

Single-cell RNA sequencing (scRNA-seq) is the sequencing technology of a single cell whose expressio...

AAontology: An Ontology of Amino Acid Scales for Interpretable Machine Learning.

Amino acid scales are crucial for protein prediction tasks, many of them being curated in the AAinde...

Robust evaluation of deep learning-based representation methods for survival and gene essentiality prediction on bulk RNA-seq data.

Deep learning (DL) has shown potential to provide powerful representations of bulk RNA-seq data in c...

A personalized mRNA signature for predicting hypertrophic cardiomyopathy applying machine learning methods.

Hypertrophic cardiomyopathy (HCM) may lead to cardiac dysfunction and sudden death. This study was d...

Exploring protein-mediated compaction of DNA by coarse-grained simulations and unsupervised learning.

Protein-DNA interactions and protein-mediated DNA compaction play key roles in a range of biological...

Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials.

Incorporating feature-engineered environmental data into machine learning-based genomic prediction m...

EnzyACT: A Novel Deep Learning Method to Predict the Impacts of Single and Multiple Mutations on Enzyme Activity.

Enzyme engineering involves the customization of enzymes by introducing mutations to expand the appl...

DEL-Thyroid: deep ensemble learning framework for detection of thyroid cancer progression through genomic mutation.

Genes, expressed as sequences of nucleotides, are susceptible to mutations, some of which can lead t...

Genome composition-based deep learning predicts oncogenic potential of HPVs.

Human papillomaviruses (HPVs) account for more than 30% of cancer cases, with definite identificatio...

TabDEG: Classifying differentially expressed genes from RNA-seq data based on feature extraction and deep learning framework.

Traditional differential expression genes (DEGs) identification models have limitations in small sam...

Deep learning-based IDH1 gene mutation prediction using histopathological imaging and clinical data.

In the field of histopathology, many studies on the classification of whole slide images (WSIs) usin...

PMTPred: machine-learning-based prediction of protein methyltransferases using the composition of k-spaced amino acid pairs.

Protein methyltransferases (PMTs) are a group of enzymes that help catalyze the transfer of a methyl...

Machine learning and experimental analyses identified miRNA expression models associated with metastatic osteosarcoma.

Osteosarcoma (OS), as the most common primary bone cancer, has a high invasiveness and metastatic po...

Machine learning for catalysing the integration of noncoding RNA in research and clinical practice.

The human transcriptome predominantly consists of noncoding RNAs (ncRNAs), transcripts that do not e...

Artificial Intelligence-Driven Prediction Revealed CFTR Associated with Therapy Outcome of Breast Cancer: A Feasibility Study.

INTRODUCTION: In silico tools capable of predicting the functional consequences of genomic differenc...

Moss-m7G: A Motif-Based Interpretable Deep Learning Method for RNA N7-Methlguanosine Site Prediction.

N-7methylguanosine (m7G) modification plays a crucial role in various biological processes and is cl...

Automatically Detecting Pancreatic Cysts in Autosomal Dominant Polycystic Kidney Disease on MRI Using Deep Learning.

BACKGROUND: Pancreatic cysts in autosomal dominant polycystic kidney disease (ADPKD) correlate with ...

Novel AT2 Cell Subpopulations and Diagnostic Biomarkers in IPF: Integrating Machine Learning with Single-Cell Analysis.

Idiopathic pulmonary fibrosis (IPF) is a long-term condition with an unidentified cause, and current...

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