Genetics

Integrative multi-kingdom gut microbiome analysis uncovers clinical signatures of major depressive disorder.

BACKGROUND: Accumulating evidence indicates that gut microbiome is significantly altered in major de...

Artificial Intelligence in Colonoscopy Surveillance for Lynch Syndrome: Emerging Evidence, Lessons Learned From Average-Risk Populations, and Future Directions.

Lynch syndrome (LS) is the most common hereditary colorectal cancer (CRC) syndrome and is characteri...

Machine learning-based prediction of Familial Hemiplegic Migraine risk from genetic variants.

BACKGROUND: Familial Hemiplegic migraine (FHM) is a rare migraine subtype characterised by transient...

Dango: Predicting higher-order genetic interactions.

Higher-order genetic interactions have profound implications for understanding the molecular mechani...

MMP9 in macrophages: A pivotal biomarker associated with immune dysregulation in interstitial cystitis/bladder pain syndrome.

BACKGROUND: Studies suggest that immune abnormalities play a significant role in the pathophysiology...

Evaluation of computational tools for the prediction of CRISPR/SpCas9 gRNA activity in plants.

CRISPR/Cas9 technologies are now routinely used in plant research, with guide RNA (gRNA) design bein...

Probing the Specificity of Fluorescent Deoxyribozymes Using Single-Step Selections and Machine Learning.

The ability of proteins and nucleic acids to form specific binding sites for ligands is critical for...

Convolutional neural networks quantify antibiotic resistance in Mycobacterium tuberculosis with diagnostic grade accuracy and predict treatment response.

There is considerable interest in training machine learning (ML) models on genomic data that achieve...

Transferability of a US claims-based machine learning model for ATTRwt-CM identification: a retrospective evaluation in a German setting.

Cardiac amyloidosis (CA), a fatal and progressive cardiomyopathy is characterized by amyloid deposit...

Novel RNA transcript signatures for accurate age prediction using RNA profiling.

Gene-level gut microbiome signatures as predictive biomarkers for response to immune checkpoint inhibitors across multiple cancer types.

Targeting programmed cell death protein 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CT...

CNV-Hub: an integrated web-based platform for CNV classification and interpretation using multi-algorithm consensus.

Copy number variations (CNVs) are genomic alterations that can cause rare genetic diseases. Their in...

The promise of AlphaFold for gene structure annotation.

Most new genomes lack annotation, automated methods are error-prone, and few genomes are ever manual...

Dissecting serum polyclonal antibody escape to SARS-CoV-2 variants by deep mutational learning.

Deep mutational scanning (DMS) has been extensively used to investigate how single-position mutation...

MechanoAge, a machine learning platform to identify individuals susceptible to breast cancer based on mechanical properties of single cells.

BACKGROUND: Emerging evidence links cellular ageing and biophysical alterations with cancer suscepti...

Predicting microbial community responses to disturbance using genome-resolved trait-based life-history strategies.

Understanding how microbial communities respond to disturbance remains a fundamental question in eco...

IL11⁺ fibroblasts are implicated in non-response to anti-TNFα via fibrosis in inflammatory bowel disease.

Inflammatory bowel disease (IBD) is frequently accompanied by intestinal fibrosis, with non-response...

DNA methylation-based classification of hematolymphoid neoplasms.

Accurate pathological diagnosis of hematolymphoid neoplasms (HLN) is often challenging due to their ...

YeastSAM: A Deep Learning Model for Accurate Segmentation of Yeast Cells.

Cell segmentation-the process of defining cell outlines in microscopy images-is essential for quanti...

Target-site Dynamics Explain a Large Share of Apparent MicroRNA Differential Expression.

MicroRNA (miRNA) abundance reflects a dynamic balance between biogenesis, target engagement, and dec...

Advances in molecular diagnostic strategies during the SARS-CoV-2 pandemic.

INTRODUCTION: The SARS-CoV-2 pandemic provided critical insights into pandemic preparedness. The com...