Multivariate Statistical Analysis of Large Datasets: Single Particle Electron Microscopy. Open Journal of Statistics. 2016. 6: 701-739.van Heel M, Portugal R, Schatz M: Multivariate Statistical Analysis of Large Datasets: Single Particle Electron Microscopy. Open Journal of Statistics 2016, 6:701-...
Statistical Discourse Analysis: Testing Educational Hypotheses with Large Datasets of Electronic Discourse 来自 hub.hku.hk 喜欢 0 阅读量: 24 作者:M Chiu,G Chen 摘要: Educators are increasingly using electronic discourse for student learning and problem solving, partially due to its time and space ...
Some of these components, however, can exist almost in isolation from the others; for example, the analysis of very large datasets on consumer choices can in practice be almost totally separate from the original collection of the data. Early activity focused on variation in results from quite ...
Many statistical analyses that are aimed to analyze such big datasets have been introduced recently. However, given many different types of clinical, genomic, and environmental data, it is rather uncommon to see statistical methods that combine knowledge resulting from those different data types. To ...
Massive datasets arise in a broad spectrum of scientific, engineering and commercial applications. In many practically important cases, a massive dataset can be represented as a very large graph with certain attributes associated with its vertices and edges. Studying the structure of this graph is es...
Presents a combination of individual topics in one complete volume featuring statistical analysis of univariate and multivariate data Interspersed throughout with solved problems and experimental tasks suitable for extreme or small and large datasets Features the interpretation of results based on the compreh...
By integrating a variety of large-scale genome-wide datasets we demonstrate that meiotic crossover sites display enriched genomic contacts and that cohesin-bound genes are significantly colocalized in the yeast nucleus. We anticipate that the complex network framework in conjunction with the ...
However, if failure is due to issues such as bad datasets, you need to archive the bad datasets and regenerate your cache file before restarting the job. Issues During the run, monitor the number of inflight messages. This can be done from the cli or the dashboard. Counts of inflight ...
endlessly in almost all fields of study, such as business, biology, ecology, and the environment, to name just a few. Complex data typically have datasets that are very large, high-dimensional, and/or have intricate structures. Traditional multivariate analysis frequently fails to analyze such ...