Results 121 to 130 of about 880 (162)
Lack of synergy between AR-targeted therapies and PARP inhibitors in homologous recombination-proficient prostate cancer. [PDF]
Proc Natl Acad Sci U S ATraphagen NA +15 more
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An institutional framework to support ethical fair and equitable artificial intelligence augmented care. [PDF]
NPJ Digit MedDykstra S +12 more
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Storing Mass-Spectrometry Data in Simple Databases Enables Flexible and Intuitive Exploration without Time or Space Penalties. [PDF]
J Proteome ResKumler W, LaRue S, Ingalls AE.
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Claudin-4 Stabilizes the Genome via Nuclear and Cell-Cycle Remodeling to Support Ovarian Cancer Cell Survival. [PDF]
Cancer Res CommunVillagomez FR +9 more
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Efficacy and safety of first-line treatment for metastatic triple-negative breast cancer: A network meta-analysis. [PDF]
Cancer Pathog TherShi M +9 more
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Proceedings of the 2010 ACM SIGMOD International Conference on Management of data, 2010
The Sequence OLAP (S-OLAP) system is a novel online analytical processing system for analyzing sequence data. S-OLAP supports "pattern-based" grouping and aggregation on sequence data - a very powerful concept and capability that is not supported by traditional OLAP systems.
Kao, B, Cheung, D, Chui, CK, Lo, E
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The Sequence OLAP (S-OLAP) system is a novel online analytical processing system for analyzing sequence data. S-OLAP supports "pattern-based" grouping and aggregation on sequence data - a very powerful concept and capability that is not supported by traditional OLAP systems.
Kao, B, Cheung, D, Chui, CK, Lo, E
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Proceedings of the ACM tenth international workshop on Data warehousing and OLAP, 2007
Sequenced queries are queries that are conceptually evaluated at each time instant. Therefore, this kind of queries return functions of time. Some applications (e.g., traffic analysis) need support for sequenced queries on data about continuous changes. Current temporal OLAP technology does not support this type of queries.
Eilverijus Kondratas, Igor Timko
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Sequenced queries are queries that are conceptually evaluated at each time instant. Therefore, this kind of queries return functions of time. Some applications (e.g., traffic analysis) need support for sequenced queries on data about continuous changes. Current temporal OLAP technology does not support this type of queries.
Eilverijus Kondratas, Igor Timko
openaire +1 more source
2009
Online Analytical Processing on XML became a topic in the database research community, which is mostly due to the possibilities of XML to overcome the constraints of the relational multidimensional model. This pager gives an overview of changes and challenges in terms of storing multidimensional heterogeneous data in XML and how to query it.
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Online Analytical Processing on XML became a topic in the database research community, which is mostly due to the possibilities of XML to overcome the constraints of the relational multidimensional model. This pager gives an overview of changes and challenges in terms of storing multidimensional heterogeneous data in XML and how to query it.
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Proceedings of the 2011 ACM SIGMOD International Conference on Management of data, 2011
We introduce a novel class of data cube, called latent-variable cube. For many data analysis tasks, data in a database can be represented as points in a multi-dimensional space. Ordinary data cubes compute aggregate functions over these "observed" data points for each cell (i.e., region) in the space, where the cells have different granularities ...
Deepak Agarwal, Bee-Chung Chen
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We introduce a novel class of data cube, called latent-variable cube. For many data analysis tasks, data in a database can be represented as points in a multi-dimensional space. Ordinary data cubes compute aggregate functions over these "observed" data points for each cell (i.e., region) in the space, where the cells have different granularities ...
Deepak Agarwal, Bee-Chung Chen
openaire +1 more source