Optimization of DADA2 in QIIME2 for improving fidelity in 16S rRNA V4 amplicon data analysis [0.03%]
QIIME 2中DADA2的优化以提高16S rRNA V4扩增子数据分析的准确性
Moirangthem Goutam Singh,Romi Wahengbam
Moirangthem Goutam Singh
High-throughput sequencing generates vast data, often containing low-quality bases, chimeras, and artifacts that can mislead taxonomic classification and diversity assessments. Divisive amplicon denoising algorithm 2 (DADA2) enhances taxono...
Assessment of HIF2α mutational pathogenicity using microscale thermophoresis [0.03%]
利用微量热泳技术评估HIF2α突变的致病性
Fraser G Ferens,Cassandra C Taber,Jeffrey J Eo et al.
Fraser G Ferens et al.
Pacak-Zhuang syndrome is an emerging pseudohypoxic disorder that causes defined but varied manifestations of neuroendocrine tumours with or without polycythemia or exclusively polycythemia. This disease is caused by mutations in the EPAS1 g...
SOLVE: A structured orthogonal latent variable framework for disentangling confounding in matrix data [0.03%]
SOLVE：矩阵数据中解开混杂因素的结构正交潜在变量框架
Jialai She,Gil Alterovitz
Jialai She
Latent factor models are valuable in bioinformatics for accounting for unmeasured variation alongside observed covariates. Yet many methods struggle to separate known effects from latent structure and to handle losses beyond standard regres...
Point-of-care electroencephalography for prediction of postoperative delirium in older adults undergoing elective surgery: protocol for a prospective cohort study [0.03%]
用于预测老年患者择期手术后谵妄的床旁脑电图预测的价值：前瞻性队列研究方案
Vikas N Vattipally,Patrick Kramer,Nada Abouelseoud et al.
Vikas N Vattipally et al.
Postoperative delirium (POD) is a complication of surgery in older adults associated with adverse outcomes. Current screening methods demonstrate poor interrater reliability, and conventional electroencephalography (EEG)-based screening req...
A hybrid framework for disease biomarker discovery in microbiome research combining Bayesian networks, machine learning, and network-based methods [0.03%]
结合贝叶斯网络、机器学习和基于网络的方法的混合框架以发现微生物组研究中的疾病生物标志物
Rosa Aghdam,Shan Shan,Richard Lankau et al.
Rosa Aghdam et al.
Microbiome research faces two central challenges, namely constructing reliable networks, where nodes represent microbial taxa and edges represent their associations, and identifying significant disease-associated taxa. To address the first ...
Multilevel predictors categorization for post-CABG atrial fibrillation prediction [0.03%]
基于多水平预测因素分类的冠脉搭桥术后房颤预测研究
Karina I Shakhgeldyan,Vladislav Y Rublev,Nikita S Kuksin et al.
Karina I Shakhgeldyan et al.
Postoperative atrial fibrillation (PoAF) is a common complication after coronary artery bypass grafting (CABG). Despite its association with increased risk of ischemic stroke, bleeding, acute renal failure and mortality there is still no id...
A systematic review of the application of computational grounded theory method in healthcare research [0.03%]
计算型扎根理论在医疗健康研究中应用的系统综述
Ravi Shankar,Fiona Devi,Xu Qian
Ravi Shankar
The integration of computational methods with traditional qualitative research has emerged as a transformative paradigm in healthcare research. Computational Grounded Theory (CGT) combines the interpretive depth of grounded theory with comp...
refineDLC: An advanced post-processing pipeline for DeepLabCut outputs [0.03%]
RefineDLC：一种DeepLabCut 输出的高级后处理管道
Weronika Klecel,Hadley Rahael,Samantha A Brooks
Weronika Klecel
DeepLabCut has transformed behavioral and locomotor research by enabling markerless pose estimation through deep learning. Despite its broad adoption across species and behaviors, quantitative kinematic analyses remained limited by noisy ou...
Cell2Read: an automated workflow to generate sequencing-ready DNA libraries from human cell suspensions [0.03%]
从人细胞悬液中自动生成测序DNA文库的流程Cell2Read
Kathryn Whitehead,Sarah Planchak,Trinity Williams et al.
Kathryn Whitehead et al.
Cell2Read is a novel automated method for complete integration of cell lysis and sample preparation for next-generation sequencing (NGS). It optimizes diffusion kinetics and complex thermal geometries to allow for effective use down to low ...
tUbeNet: a generalizable deep learning tool for 3D vessel segmentation [0.03%]
TubeNet：一种通用的深度学习血管分割工具
Natalie A Holroyd,Zhongwang Li,Claire Walsh et al.
Natalie A Holroyd et al.
Deep learning has become an invaluable tool for bioimage analysis but, while open-source cell annotation software such as Cellpose is widely used, an equivalent tool for three-dimensional (3D) vascular annotation does not exist. With the va...