Long-read technologies are overcoming early limitations in accuracy and throughput, broadening their application domains in genomics. Dedicated analysis tools that take into account the characteristics of long-read data are thus required, but the fast pace of development of such tools can be overwhelmin...
In a study three major challenges of using unstructured data has been identified: analytical know-how, data issues, variety. Additionally, measures how to improve the analysis of unstructured data in the industry 4.0 context are described. Therefore, the paper provides empirical insights about ...
data leaders had dedicated teams or roles to monitor and evaluate the impact of global regulations. Modern infrastructure can help as well, one leader told us: “Most of our critical infrastructure is new, automated, and in public cloud, which gives us an advan...
Intelligent Data Analysis (IDA) is one of the most important approaches in the field of data mining, which attracts great concerns from the researchers. Based on the basic principles of IDA and the features of datasets that IDA handles, the development of IDA is briefly summarized from three ...
TP53 mutations were over-represented in metastatic samples across all cancers. VICC had a significantly different cancer type distribution than that of GENIE but patients were well matched with respect to age, sex, and sample type. Treatment data from VICC was...
in analysis. With theTableau Data Management Add-on, you get a solution that’s designed with multiple people in mind. It also remains heavily focused on analytics so people get the information they need when and where they need it—directly in the flow of their analysis. Plus, the visual...
Over the last two decades, advances in metagenomics have vastly increased our knowledge of the microbial world and intensified development of data analysis techniques1,2,3. This created a need for unbiased and comprehensive assessment of these methods, to identify best practices and open challenges ...
in analysis. With theTableau Data Management Add-on, you get a solution that’s designed with multiple people in mind. It also remains heavily focused on analytics so people get the information they need when and where they need it—directly in the flow of their analysis. Plus, the visual...
Big Data, Analysis of Big data analysis has the potential to advance theories and methods in social science. The power of big data does not only come from its large volume but a... S Lee,T Peng - American Cancer Society 被引量: 0发表: 2020年 Critical analysis for big data studies in...
This paper presents a tutorial/overview cross section of some relevant hyperspectral data analysis methods and algorithms, organized in six main topics: data fusion, unmixing, classification, target detection, physical parameter retrieval, and fast computing. In all topics, we describe the state-of-...