Genetics

Integrated single-cell analyses of affinity-tested B cells enable the identification of a gene signature to predict antibody affinity.

Advancements in single-cell technologies and deep sequencing have expanded the B cell repertoire ava...

Machine-Learning Ice Spectra: From 1 to 256 Features.

The study explores how well machine learning and structural fingerprints can predict spectroscopic p...

Applying biotechnology to overcome cancer drug resistance and improve public health outcomes.

This review examines how biotechnology advances (CRISPR/Cas9, next-generation targeted therapies, na...

Advances in multi-omics for esophageal squamous cell carcinoma: Diagnostic, prognostic, and therapeutic perspectives.

Esophageal squamous cell carcinoma (ESCC) remains a major health burden, particularly in Asia, with ...

Forensic Transcriptomics: Research Progress of the Past Two Decades.

Over the last two decades, advancements in sequencing technology and data science have significantly...

Regulatory grammar in human promoters uncovered by MPRA-based deep learning.

Promoters are the core regulatory elements of all genes. Their activity ensures the correct transcri...

Transcriptomic analyses reveal regulatory plasticity and metabolic reprogramming underlying genotype-specific microspore embryogenesis in wheat.

Embryogenic efficiency in wheat microspores is driven by epigenetic regulation, homoeolog expression...

Leveraging in-silico deep learning and computational analyses to predict the pathogenicity of ROBO4 variants of uncertain significance in aortic aneurysm and dissection patients.

Variants of uncertain significance (VUS) in genes implicated in thoracic aortic aneurysm (TAA) prese...

PRDX6 as a Ferroptosis-Related Hub Gene in the Entorhinal Cortex of Alzheimer's Disease: A Multidimensional Bioinformatics and Experimental Validation Study.

Ferroptosis, an iron-dependent regulated cell death form, is a key pathogenic mechanism in Alzheimer...

Identification of common genes and biomarkers between Dermatomyositis and rheumatoid arthritis through integrated bioinformatics.

BACKGROUND: Dermatomyositis (DM) and rheumatoid arthritis (RA) share immuno-inflammatory features, y...

DNA-Driven EEG monitoring for rapid seizure prediction in healthcare.

BACKGROUND AND OBJECTIVE: Worldwide, over 50 million people suffer from epilepsy, a neurological dis...

Revealing the function and mechanism of piRNA-related genes in bladder cancer through single-cell sequencing and methylation analyses and construction of prognostic features based on consensus clustering.

BACKGROUND: This study aimed to explore the functions and potential mechanisms of PIWI-interacting R...

AlphaMissense pathogenicity scores predict response to immunotherapy and enhances the predictive capability of tumor mutation burden.

Tumor Mutational Burden (TMB) is a widely used biomarker for selecting cancer patients for immune ch...

Efficient development of a neural network potential for pure silica zeolites.

The use of machine learning interatomic potentials (MLIPs) has increased the size and timeframe of m...

FPGDKG 1.0: An Integrated Facial Phenotype-Gene-Disease Knowledge Graph for Rare Disease Diagnosis and Explanation.

Rare diseases pose significant diagnostic challenges due to their low prevalence, limited clinical a...

Computational and Experimental Realization of Metal-Ion-Doped Orthorhombic Sn3O4 for Visible-Light-Active Photocatalysis.

The orthorhombic tri-tin tetraoxide (Sn3O4) is a newly discovered polymorph and has attracted great ...

An absolute quantification atlas of small non-coding RNAs across diverse mammalian tissues and cell lines.

The low quantitative accuracy of conventional small noncoding RNA sequencing (sncRNA-seq) methods du...

Exploring the proprioceptive potential of joint receptors using a biomimetic robotic joint.

In neuroscience, joint receptors have traditionally been viewed as limit detectors, providing positi...

Predicting genetic evolution of viruses to identify suitable vaccines using artificial intelligence.

The evolution of the viruses is rapidly becoming a global challenge to the creation of vaccines sinc...

Genetic polymorphisms in DNA repair gene XRCC1 and the risk of diabetic polyneuropathy.

A DNABERT based deep learning framework for predicting transcription factor binding sites.

Transcription factors are proteins that regulate the expression of genes by binding to specific geno...