Genetics

A prognostic signature of ferroptosis and lipid metabolism related genes predicts survival and immunotherapy response in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is a common and aggressive form of cancer. There is an in...

Precision breeding in a changing climate: unlocking resilience through omics and gene editing.

Climate change, rising global food demand, and shrinking resources require transformative innovation...

Machine Learning-Based Identification of Exosome-Associated Diagnostic Biomarkers in Acute Myocardial Infarction and in Silico Drug Prioritization.

BACKGROUND: Acute myocardial infarction (AMI) is a major global health burden, with current diagnost...

Whole-genome sequencing and comparative genomics reveal antimicrobial potential and adaptive traits of Bacillus velezensis AM12.

The global rise of antimicrobial resistance has intensified the demand for novel antimicrobial agent...

Lactylation-driven gene signatures define breast cancer prognosis: a predictive model and insights into immune microenvironment dynamics.

BACKGROUND: Breast cancer is a leading cause of cancer-related mortality worldwide, with poor progno...

Stratifying high-risk prediabetes clusters using blood-based epigenetic markers.

Gene Modification: Exploring the potential in treating kidney diseases.

Chronic kidney disease (CKD) is a leading cause of death worldwide. Currently available drugs slow b...

scPlantAnnotate: an accurate and robust transformer-based model for plant cell type annotation.

INTRODUCTION: Accurate cell type annotation remains a major bottleneck in plant single-cell RNA sequ...

Construction of a diagnostic model for tuberculosis based on long non-coding RNA.

BACKGROUND: The World Health Organization encourages the development of novel diagnostic tools based...

Graph-Agnostic Linear Transformers.

Graph Transformers (GTs), as emerging foundational encoders for graph-structured data, have shown pr...

Predicting epistasis across proteins by structural logic.

Accurately predicting the phenotypic consequences of genetic variation is a major challenge for prec...

Multiomics Profiling of T-cell Leukemia and Lymphoma Enables Targeted Therapeutic Discovery.

UNLABELLED: T-cell leukemias and lymphomas (TCL) form a heterogeneous group of rare and often aggres...

PANTHER Score: Protein-Affinity for Nucleic Target-binding, Hybridization, and Energy Regression.

Although protein-RNA interactions are crucial for many biological processes, predicting their bindin...

The SynMall resource for characterizing the functional impact of synonymous variation.

Synonymous single-nucleotide variants (sSNVs) are increasingly recognized as contributors to disease...

Cancer genome profiling in sarcomas: current status and future perspectives in Japan.

INTRODUCTION: Sarcomas are rare, molecularly diverse malignancies that challenge accurate diagnosis ...

Stratification of viral shedding patterns in saliva of COVID-19 patients.

Living with COVID-19 requires continued vigilance against the spread and emergence of variants of co...

Identification and validation of PANX1 as an inflammasome-related biomarker in gestational diabetes mellitus: insights from machine learning and experimental approaches.

Gestational diabetes mellitus (GDM) is characterized by glucose intolerance during pregnancy, result...

Single-cell profiling of immunogenic cell death in melanoma reveals prognostic signatures and therapeutic targets.

BACKGROUND: Cutaneous melanoma is one of the most aggressive forms of skin cancer, marked by rapid p...

Confidence-Based Batch Ordering in Continual Learning: A Curriculum Learning Approach for Single-Cell RNA Sequencing Data.

Training machine learning models on large datasets, such as those derived from single-cell RNA seque...

AI-Assisted Multiplex SYBR Green I-Based qPCR for the Identification and Quantitative Analysis of Oral Microbiota.

Conventional multiplex qPCR faces challenges in quantitative multipathogen detection due to limited ...

Artificial intelligence-enabled "inherited noninvasive intracellular recording" for prolonged monitoring of cardiac action potentials.

Intracellular action potential (AP) recording that allows long-term monitoring is challenging becaus...