Genetics

An integrated machine learning framework for developing a transcriptomic analysis and machine learning-based diagnostic model of gout based on sleep disorder-related genes.

Gout, often comorbid with sleep disorders (SDs), is prevalent in inflammatory arthritis. This comorb...

The multi-omics and Mendelian randomization analyses unveiled potential marker genes in the progression of glioblastoma.

In glioma research, identifying key molecules for predicting patient prognosis is challenging due to...

Predicting the Efficacy of Breast Cancer Neoadjuvant Chemotherapy Using Ultrasonography and Machine Learning.

OBJECTIVE: This study aimed to develop a machine learning model based on ultrasonography (US) and cl...

The role of low-complexity repeats in RNA-RNA interactions and a deep learning framework for duplex prediction.

RNA-RNA interactions (RRIs) are fundamental to gene regulation and RNA processing, yet their molecul...

Coriandrum sativum improves prognosis in clear cell renal cell carcinoma by targeting NEK6 to modulate the immune microenvironment: a predictive study based on network pharmacology and multi-omics analysis.

Coriandrum sativum L. (coriander) is a medicinal herb with diverse pharmacological properties, but i...

Spatial transcriptional profiling of CHB liver biopsies reveals an undetected population of zonally biased HBV-integrated cells.

BACKGROUND & AIMS: HBV covalently closed circular DNA (cccDNA) and HBV-integrated DNA (iDNA) are fea...

scACAN: An Adaptive Learning Framework Aggregating Local Graph Structure Context for Rare Cell Type Identification.

Single-cell RNA sequencing (scRNA-seq) technology has become an essential tool for dissecting cellul...

Radiogenomics: Current Understandings and Future Perspectives.

Radiogenomics is a rapidly developing field that links radiological image features (radiomics) to ge...

Cancer-Like Fragmentomic Characteristics of Somatic Variants in Cell-Free DNA.

Cell-free DNA (cfDNA) in plasma consists of short DNA fragments resulting from a non-random fragment...

Extracellular matrix stiffness drives post-mitotic nuclear pore complex assembly to promote neuroblastoma pathogenesis.

Nuclear pore complex (NPC) undergoes dynamic changes in physiology and pathology, yet its roles in n...

The Future of Non-muscle-invasive Bladder Cancer: Towards a Molecular-Digital Paradigm for Personalized Management.

The management of non-muscle-invasive bladder cancer (NMIBC) is undergoing a major paradigm shift dr...

Automatic cell type identification methods for single-cell RNA sequencing based on coordinate convolutional neural network.

Cell type identification is a fundamental step in the analysis of single-cell RNA sequencing (scRNA-...

Recent advances in the analysis of the evolutionary RNA based therapeutics; a review.

The evolution of RNA-based therapies is bringing in a new era for the pharmaceutical industry. As a ...

DeepDBPI: DNA-Binding Protein Identifier Using a Deep Learning Model with Transformed Denoised Features.

Motivation: DNA-binding proteins (DBPs) play a significant role in the entire biological system. Man...

Community participatory Jingchu folk pattern generation platform construction and user co-creation mechanism analysis.

In the context of the digital era, the protection and inheritance of traditional cultural heritage f...

Protein buffering of aneuploidy is driven by coordinated factors identified through machine learning.

Aneuploidy, a hallmark of cancer, alters chromosome copy numbers and with that the abundance of hund...

Integrative multi-omics and machine learning framework identifies PRDX4 as a redox-EMT regulator and predictive marker in bone-metastatic breast cancer.

Bone metastasis is a major cause of morbidity and mortality in breast cancer, yet effective prognost...

Machine learning for individual epigenetic fingerprints as predictors of well-being in young adults.

A screening strategy based on machine learning for diagnostic biomarkers in small cell lung cancer.

Small cell lung cancer (SCLC) is the most aggressive subtype with high mortality rates due to the la...

The role of the kynurenine pathway in the pathophysiology of autism-like phenotype induced by maternal inflammation in male mice.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with core symptoms that may include ...

Integrative analysis identifies lactylation-related biomarkers in sepsis via bioinformatics and machine learning.

BACKGROUND: Protein lactylation is a novel post-translational modification driven by lactate and has...