3881 papers
This study utilizes single-cell RNA sequencing and bioinformatics analysis to identify key immune-related biomarkers, regulatory networks, and potential therapeutic targets for Parkinson's disease, thereby advancing the understanding of its inflammatory pathogenesis.
This paper introduces a zero-point-constrained gray-box framework that uniquely identifies physical connection weights in coupled oscillator networks, enabling the reconstruction of dynamics and accurate prediction of structural perturbation responses without retraining.
The paper introduces FORCE, a forward modeling framework that simulates biologically plausible intra-voxel configurations to directly match diffusion MRI signals, thereby unifying the resolution of fiber crossings, generation of microstructural maps, and estimation of uncertainty in a single, efficient process without requiring specialized acquisitions.
This study identifies the histone variant H2A.B.3 as a critical chromatin-linked regulator that, in conjunction with UPF1, directs a novel nuclear RNA decay pathway to ensure the timely degradation of histone mRNAs during spermatogenesis and proper sperm chromatin remodeling.
This study utilizes a two-stage Korean WES–WGS framework to demonstrate that while high discrimination in Alzheimer's disease models is driven by diagnostic-proximal clinical variables and APOE signals, Non-APOE candidate variants identified in clinically enriched cohorts should be treated as hypothesis-generating features rather than confirmed independent predictors due to weak standalone predictive power and the lack of external replication.
This study presents the assembly and evolutionary analysis of the *Thalassia testudinum* chloroplast genome from Guánica, Puerto Rico, revealing high genetic conservation across *Thalassia* species and confirming its close phylogenetic relationship with Florida populations through long-read sequencing and comparative genomic methods.
This study demonstrates that repurposing cost-effective short-read sequencing data from diverse tomato lines can uncover over 71,000 high-confidence structural variants, revealing them as critical, previously hidden drivers of genetic diversity that enhance breeding workflows and resolve lineage relationships without requiring additional long-read sequencing investments.
This study presents a hybrid computational framework combining stochastic spatial point processes and explainable 3D deep learning to reveal that while global microglial distribution remains unchanged in Parkinson's disease, there is a significant, region-specific increase in microglial-pSyn co-occupancy in the substantia nigra driven by distinct micro-morphological texture gradients.
This study proposes an alignment-free phylogenetic analysis framework that integrates k-mer statistics with DNA physicochemical properties and strand symmetry into a feature vector, which is then optimized using an enhanced rough set-based selection method to achieve efficient and interpretable whole-genome evolutionary inference.
This study introduces SENSE2, a histology-informed computational framework that integrates time-dependent tissue remodeling to quantitatively compare the long-term performance, stability, and selectivity of three peripheral nerve implant designs over five months, revealing that accounting for chronic foreign body response is essential for optimizing neuromodulation efficacy.