A User-Friendly Machine Learning Pipeline for Automated Leaf Segmentation in Atriplex lentiformis [0.03%]
一种用于盐地碱蓬的叶片分割的用户友好的机器学习流程
Michelle Lynn Yung,Kamila Murawska-Wlodarczyk,Alicja Babst-Kostecka et al.
Michelle Lynn Yung et al.
Automated leaf segmentation pipelines must balance accuracy, scalability, and usability to be readily adopted in plant research. We present an end-to-end deep learning pipeline designed for practical use in plant phenotyping, which we devel...
Integrative Machine Learning Approach to Explore Glycosylation Signatures and Immune Landscape in Moyamoya Disease [0.03%]
整合机器学习方法探索 moyamoya 病变中的糖基化标志物和免疫图谱
Cunxin Tan,Jing Wang,Yanru Wang et al.
Cunxin Tan et al.
Moyamoya disease (MMD) is a rare, chronic cerebrovascular disorder of uncertain etiology. Although abnormal glucose metabolism has been implicated, the contribution of glycosylation-related genes in MMD remains elusive. In this study, we an...
Structural Insights Into centSIRT6: Bioinformatic Analysis of N308K and A313S Substitution Effects [0.03%]
centSIRT6结构洞察力：N308K和A313S替代效应生物信息学分析的中文翻译标题为：“关于centSIRT6的结构见解——N308K和A313S取代效应的生物信息学分析”
Francisco Alejandro Lagunas-Rangel
Francisco Alejandro Lagunas-Rangel
Sirtuin 6 (SIRT6), a member of the class III histone deacetylase (HDAC) family, is crucial for the maintenance of general health and is associated with increased life expectancy and resistance to age-related diseases such as cancer and meta...
A Reverse Vaccinology and Immunoinformatic Approach for the Designing of a Novel mRNA Vaccine Against Stomach Cancer Targeting the Potent Pathogenic Proteins of Helicobacter pylori [0.03%]
基于Helicobacter pylori致病蛋白的胃癌mRNA疫苗设计的反向 vaccinology和免疫信息学方法研究
Abanti Barua,Md Habib Ullah Masum,Ahmad Abdullah Mahdeen
Abanti Barua
Helicobacter pylori infection of the stomach's epithelial cells is a significant risk factor for stomach cancer. Various H pylori proteins (CagA, GGT, NapA, PatA, urease, and VacA) were targeted to design 2 messenger RNA (mRNA) vaccines, V1...
Bayesian Inference for Drug Discovery by High Negative Samples and Oversampling [0.03%]
高负面样本和过采样条件下的药物发现的贝叶斯推理
Manh Hung Le,Nam Anh Dao,Xuan Tho Dang
Manh Hung Le
Drug repositioning holds great promise for reducing the time and cost associated with traditional drug discovery, but it faces significant challenges related to data imbalance and noise in negative samples. In this article, we introduce a n...
Michael Christian Gruber,Daniel Kummer,Katja Sallinger et al.
Michael Christian Gruber et al.
The Microchimerism Literature Atlas (MCLA) is a comprehensive online dataset to facilitate the investigation of microchimerism (MC), condition where individuals harbor cells from another individual of the same species. The MCLA provides acc...
Revolutionizing Chikungunya Vaccines: mRNA Breakthroughs With Molecular and Immune Simulations [0.03%]
革新登革热疫苗：基于分子和免疫模拟的mRNA突破性进展
Md Habib Ullah Masum,Ahmad Abdullah Mahdeen,Abanti Barua
Md Habib Ullah Masum
With the ability to cause massive epidemics that have consequences on millions of individuals globally, the Chikungunya virus (CHIKV) emerges as a severe menace. Developing an effective vaccine is urgent as no effective therapeutics are ava...
Dynamic Gene Attention Focus (DyGAF): Enhancing Biomarker Identification Through Dual-Model Attention Networks [0.03%]
动态基因注意力聚焦（DyGAF）：通过双模型注意力网络增强生物标志物识别
Md Khairul Islam,Himanshu Wagh,Hairong Wei
Md Khairul Islam
The DyGAF model, which stands for Dynamic Gene Attention Focus, is specifically designed and tailored to address the challenges in biomarker detection, progression reporting of pathogen infection, and disease diagnostics. The DyGAF model in...
Development of a Novel mRNA Vaccine Against Shigella Pathotypes Causing Widespread Shigellosis Endemic: An In-Silico Immunoinformatic Approach [0.03%]
针对耐孟氏叉状鞭虫广泛流行性痢疾的新mRNA疫苗的研发：一种基于计算机模拟免疫信息学的方法
Abdur Razzak,Otun Saha,Khandokar Fahmida Sultana et al.
Abdur Razzak et al.
Shigellosis remains a major global health concern, particularly in regions with poor sanitation and limited access to clean water. This study used immunoinformatics and reverse vaccinology to design a potential mRNA vaccine targeting Shigel...
Evolutionary and epidemic dynamics of COVID-19 in Germany exemplified by three Bayesian phylodynamic case studies [0.03%]
德国COVID-19的进化与流行病动态：三个贝叶斯phylo动态案例研究示例
Sanni Översti,Ariane Weber,Viktor Baran et al.
Sanni Översti et al.
The importance of genomic surveillance strategies for pathogens has been particularly evident during the coronavirus disease 2019 (COVID-19) pandemic, as genomic data from the causative agent, severe acute respiratory syndrome coronavirus t...