In this article, we review recent progress in using high-dimensional longitudinal genomic data collected from virus challenge studies, per- formed with healthy human volun- teers. The focus of the ...

Healthcare delivery is being transformed by the rapid growth of data, advancements in artificial intelligence (AI) and other ...

Visualization and analytics are now very important in today's data deluge. The data generated today is very complex and unstructured and it is very difficult to comprehend the data. Due to these ...

The University of Washington's Comparative Effectiveness, Cost and Outcomes Research Center (CECORC) and Center for Biomedical Statistics (CBS) serve as the Data Coordinating Center (DCC) for BOLD ...

Background Negative associations between neighbourhood socioeconomic disadvantage and health are well documented. However, ...

Objective This study examines the prevalence, patterns and factors of chronic disease-related multimorbidity. Also, this study examines the inequality in the prevalence of multimorbidity among older ...

With the rapid developments in mass spectrometry (MS)-based proteomics methods, label-free semiquantitative proteomics has become an increasingly popular tool for profiling global protein abundances ...

More quality and methodology information on strengths, limitations, appropriate uses, and how the data were created is available in our Public sector employment QMI. Accredited official statistics ...

ABSTRACT The use of longitudinal measurements is an essential practice both in Psidium guajava L. breeding and in other perennial crops in which covariance structures can be introduced to explain the ...

For the ICT Sector, MPD helps produce granular statistics, such as the number of active mobile broadband subscriptions and penetration rates at the state, district, mukim, parliamentary constituency, ...