Genetics

FFixR: A Machine Learning Framework for Accurate Somatic Mutation Calling from FFPE RNA-Seq Data in Cancer.

MOTIVATION: Formalin-fixed paraffin-embedded (FFPE) tissues are widely used in clinical and research...

Predictive value of PfEMP1 antibody profiles for the course of controlled human malaria infections.

Antibody-mediated immunity directed against Plasmodium falciparum erythrocyte membrane protein 1 (Pf...

DNA origami snaps into place.

An electrically controlled DNA origami snap-through switch provides robust, programmable logic for m...

Meta-analysis reveals microbiome signatures for colorectal cancer that are universal across age groups and sequencing methods.

Numerous studies have linked gut microbiome alterations to colorectal cancer (CRC), but limited samp...

Molecular characteristics and modifications of glioblastoma affecting the efficacy of immunotherapy.

Glioblastoma is a highly aggressive brain tumor characterized by complex genetic, molecular, and epi...

Codon compression and novel codon creation for multiplex non-canonical amino acid incorporation.

Genetic code expansion (GCE) provides a robust platform for engineering protein function via the sit...

Multimodal imaging and artificial intelligence for response assessment to neoadjuvant therapy in breast cancer: a comprehensive review.

This narrative review explores the latest advancements in various imaging modalities combined with a...

Elucidating the therapeutic targets and multi-target mechanisms of salvianolic acid A for diabetic nephropathy.

Diabetic nephropathy (DN) is a leading cause of chronic kidney disease. Salvianolic acid A (SAA) has...

Deep learning-based identification of causative genes in lissencephaly using 3D-MRI volumetric datasets.

BACKGROUND: This paper reports a genetic identification task using 3D convolutional neural network (...

Multi-omics integration and clinical validation identify CKAP2 as a diagnostic biomarker for bladder cancer.

BACKGROUND: Bladder cancer (BC) remains a prevalent malignancy with a high recurrence rate; however,...

Network analysis reveals that bHLH transcription factors positively regulate rice resistance to Magnaporthe oryzae.

Transcription factors (TFs) and nucleotide-binding leucine-rich repeat (NLR) genes are core componen...

Tumor-naïve ctDNA detection with deep learning-enhanced error suppression for sensitive mutation calling.

BACKGROUND: Circulating tumor DNA (ctDNA) detection offers minimally invasive monitoring of cancer f...

MagmaFlow: A desktop platform for artificial intelligence-driven expression analysis.

While simplistic volcano plot visualizations of multi-omics changes can highlight the most critical ...

Development of a precise saliva-based epigenetic clock using a six-CpG-marker panel.

Saliva, a frequently encountered biological specimen in forensic investigations, has great potential...

Graph informed biomarker discovery framework using transcriptomic machine learning for glioblastoma prognosis.

Identifying reproducible, interpretable prognostic signals from high-dimensional transcriptomics rem...

Integrated bioinformatics, machine learning, and experimental validation identify a four-gene diagnostic signature for cervical cancer associated with PI3K/AKT signaling.

Early and accurate diagnosis remains a major challenge in cervical cancer management. This study aim...

[Current status and progress of prognostic evaluation in marginal zone lymphoma].

Marginal zone lymphoma (MZL) is an indolent B-cell non-Hodgkin lymphoma with marked heterogeneity. C...

Artificial intelligence in pediatric endoscopy for hereditary polyposis syndromes: promises and challenges.

PURPOSE OF REVIEW: Children with hereditary polyposis syndromes require long-term endoscopic surveil...

Comparative 10-year performance of mammography artificial intelligence, polygenic, and clinical breast cancer risk models in the Kaiser Permanente Research Bank.

BACKGROUND: We compared performance across 3 breast cancer risk domains-clinical, polygenic, and mam...

Retraction Note: Artificial intelligence-driven epigenetic CRISPR therapeutics: a structured multi-domain meta-analysis of therapeutic efficacy, off-target prediction, and gRNA optimization.

Enhancing Enzyme Activity With Mutation Combinations Guided by Few-Shot Learning and Causal Inference.

Designing enzyme sequences to enhance product yield represents a fundamental challenge in metabolic ...