Systematic Exploration in Tissue-Pathway Associations of Complex Traits Using Comprehensive eQTLs Catalog [0.03%]
利用综合eQTL目录系统探索复杂性状的组织-通路关联
Boqi Wang,James Yang,Steven Qiu et al.
Boqi Wang et al.
The collection of expression quantitative trait loci (eQTLs) is an important resource to study complex traits through understanding where and how transcriptional regulations are controlled by genetic variations in the non-coding regions of ...
Fitting and Cross-Validating Cox Models to Censored Big Data With Missing Values Using Extensions of Partial Least Squares Regression Models [0.03%]
使用偏最小二乘回归模型的扩展拟合和交叉验证具有缺失值的大规模生存分析数据的Cox模型
Frédéric Bertrand,Myriam Maumy-Bertrand
Frédéric Bertrand
Fitting Cox models in a big data context -on a massive scale in terms of volume, intensity, and complexity exceeding the capacity of usual analytic tools-is often challenging. If some data are missing, it is even more difficult. We proposed...
Automated Analysis of the US Drought Monitor Maps With Machine Learning and Multiple Drought Indicators [0.03%]
基于机器学习和多种干旱指标的美国干旱监测地图自动化分析
Pouyan Hatami Bahman Beiglou,Lifeng Luo,Pang-Ning Tan et al.
Pouyan Hatami Bahman Beiglou et al.
The US Drought Monitor (USDM) is a hallmark in real time drought monitoring and assessment as it was developed by multiple agencies to provide an accurate and timely assessment of drought conditions in the US on a weekly basis. The map is b...
Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing [0.03%]
通过自动特征主题配对实现语义丰富的空间网络表示学习
Dongjie Wang,Kunpeng Liu,David Mohaisen et al.
Dongjie Wang et al.
Automated characterization of spatial data is a kind of critical geographical intelligence. As an emerging technique for characterization, spatial Representation Learning (SRL) uses deep neural networks (DNNs) to learn non-linear embedded f...
Modelling Representative Population Mobility for COVID-19 Spatial Transmission in South Africa [0.03%]
南非COVID-19空间传播的人口流动模型分析
A Potgieter,I N Fabris-Rotelli,Z Kimmie et al.
A Potgieter et al.
The COVID-19 pandemic starting in the first half of 2020 has changed the lives of everyone across the world. Reduced mobility was essential due to it being the largest impact possible against the spread of the little understood SARS-CoV-2 v...
Domenico Sgariglia,Alessandra Jordano Conforte,Carlos Eduardo Pedreira et al.
Domenico Sgariglia et al.
Cancer is a genomic disease involving various intertwined pathways with complex cross-communication links. Conceptually, this complex interconnected system forms a network, which allows one to model the dynamic behavior of the elements that...
Requirements for a Dashboard to Support Quality Improvement Teams in Pain Management [0.03%]
支持疼痛管理中质量改进团队的仪表板的需求
Jeremy Opie,Maura Bellio,Rachel Williams et al.
Jeremy Opie et al.
Pain management is often considered lower priority than many other aspects of health management in hospitals. However, there is potential for Quality Improvement (QI) teams to improve pain management by visualising and exploring pain data s...
Testing a Generalizable Machine Learning Workflow for Aquatic Invasive Species on Rainbow Trout (Oncorhynchus mykiss) in Northwest Montana [0.03%]
针对西北蒙大拿彩虹 trout（Oncorhynchus mykiss）测试通用机器学习工作流在水生入侵物种中的应用
S Carter,C B van Rees,B K Hand et al.
S Carter et al.
Biological invasions are accelerating worldwide, causing major ecological and economic impacts in aquatic ecosystems. The urgent decision-making needs of invasive species managers can be better met by the integration of biodiversity big dat...
Atousa Zarindast,Jonathan Wood
Atousa Zarindast
Recommender systems attempt to identify and recommend the most preferable item (product-service) to individual users. These systems predict user interest in items based on related items, users, and the interactions between items and users. ...
Differences Between MR Brain Region Segmentation Methods: Impact on Single-Subject Analysis [0.03%]
MR脑区分割方法的区别：对单个受试者分析的影响
W Huizinga,D H J Poot,E J Vinke et al.
W Huizinga et al.
For the segmentation of magnetic resonance brain images into anatomical regions, numerous fully automated methods have been proposed and compared to reference segmentations obtained manually. However, systematic differences might exist betw...