Genetics

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

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Circulating tumor DNA for monitoring classic Hodgkin lymphoma patients: Correlation with FDG-PET/CT.

The value of circulating tumor DNA (ctDNA) as a biomarker of disease activity in classic Hodgkin lym...

Identifying Explainable Machine Learning Models and a Novel SFRP2 Fibroblast Signature as Predictors for Precision Medicine in Ovarian Cancer.

Ovarian cancer (OC) is a type of malignant tumor with a consistently high mortality rate. The diagno...

Quantitative Modeling of Stemness in Single-Cell RNA Sequencing Data: A Nonlinear One-Class Support Vector Machine Method.

Intratumoral heterogeneity and the presence of cancer stem cells are challenging issues in cancer th...

Label-free identification of protein aggregates using deep learning.

Protein misfolding and aggregation play central roles in the pathogenesis of various neurodegenerati...

XGraphCDS: An explainable deep learning model for predicting drug sensitivity from gene pathways and chemical structures.

Cancer is a highly complex disease characterized by genetic and phenotypic heterogeneity among indiv...

What are the most relevant publications in Clinical Microbiology in the last two years?

This minireview describes some of the articles published in the last two years related to innovative...

CREaTor: zero-shot cis-regulatory pattern modeling with attention mechanisms.

Linking cis-regulatory sequences to target genes has been a long-standing challenge. In this study, ...

Waterborne pathogens detection technologies: advances, challenges, and future perspectives.

The World Health Organization (WHO) estimated that pathogens like Escherichia coli, primarily linked...

Identifying the Interaction Between Tuberculosis and SARS-CoV-2 Infections via Bioinformatics Analysis and Machine Learning.

The number of patients with COVID-19 caused by severe acute respiratory syndrome coronavirus 2 is st...

The Performance of Machine Learning for Prediction of H3K27 M Mutation in Midline Gliomas: A Systematic Review and Meta-Analysis.

BACKGROUND: Diffuse midline gliomas (DMGs) encompass a set of tumors, and those tumors with H3K27 M ...

Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries.

Biobanks that collect deep phenotypic and genomic data across many individuals have emerged as a key...

Phase retrieval for X-ray differential phase contrast radiography with knowledge transfer learning from virtual differential absorption model.

Grating-based X-ray phase contrast radiography and computed tomography (CT) are promising modalities...

Ensemble Learning with Supervised Methods Based on Large-Scale Protein Language Models for Protein Mutation Effects Prediction.

Machine learning has been increasingly utilized in the field of protein engineering, and research di...

Differences in the choice of beef artificial insemination sires used by dairy producers versus beef producers.

The growing demand among dairy producers for suitable beef sires to mate to their females creates th...

DCDA: CircRNA-Disease Association Prediction with Feed-Forward Neural Network and Deep Autoencoder.

Circular RNA is a single-stranded RNA with a closed-loop structure. In recent years, academic resear...

DNABERT-based explainable lncRNA identification in plant genome assemblies.

Long non-coding ribonucleic acids (lncRNAs) have been shown to play an important role in plant gene ...

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