Results 261 to 270 of about 31,723,480 (301)

On the expressive power of data dependencies

Acta Informatica, 1986
Since the language of data dependencies is a language for semantic specification of databases, it is highly desirable to know which classes of databases are axiomatizable by different kinds of data dependencies. As a decisive step towards a comprehensive theory, the paper under review gives characterizations of axiomatizability of (finite) databases by
Johann A. Makowsky, Moshe Y. Vardi
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Computational aspects of expression data

Journal of Molecular Medicine, 1999
Several experimental techniques are available nowadays to study the spectrum of genes expressed in a cell at a specific moment. Typically, such methods generate large amounts of expression data that may be hard to interpret. Here we review computational questions and approaches resulting from the various experimental techniques.
M, Vingron, J, Hoheisel
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Enhanced biclustering on expression data

Third IEEE Symposium on Bioinformatics and Bioengineering, 2003. Proceedings., 2003
Microarrays are one of the latest breakthroughs in experimental molecular biology, which provide a powerful tool by which the expression patterns of thousands of genes can be monitored simultaneously and are already producing huge amount of valuable data.
Jiong Yang 0001, Haixun Wang, Wei Wang 0010, Philip S. Yu   +3 more
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Analysis of Gene‐Expression Data Using J‐Express

Current Protocols in Bioinformatics, 2008
AbstractThe J‐Express package has been designed to facilitate the analysis of microarray data with an emphasis on efficiency, usability, and comprehensibility. The J‐Express system provides a powerful and integrated platform for the analysis of microarray gene expression data.
Anne Kristin, Stavrum, Kjell, Petersen, Inge, Jonassen, Bjarte, Dysvik   +3 more
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Biclustering of expression data.

Proceedings. International Conference on Intelligent Systems for Molecular Biology, 2001
An efficient node-deletion algorithm is introduced to find submatrices in expression data that have low mean squared residue scores and it is shown to perform well in finding co-regulation patterns in yeast and human. This introduces "biclustering", or simultaneous clustering of both genes and conditions, to knowledge discovery from expression data ...
Yizong Cheng, George M. Church
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A Data Set of OCL Expressions on GitHub

2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR), 2017
In model driven engineering (MDE), meta-models are the central artifacts. As a complement, the Object Constraint Language (OCL) is a language used to express constraints and operations on meta-models. The Eclipse Modeling Framework (EMF) provides an implementation of OCL, enabling OCL-annotated meta-models.
Jeroen Noten, Josh Mengerink, Alexander Serebrenik   +2 more
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Data Animator: Authoring Expressive Animated Data Graphics

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 2021
Animation helps viewers follow transitions in data graphics. When authoring animations that incorporate data, designers must carefully coordinate the behaviors of visual objects such as entering, exiting, merging and splitting, and specify the temporal rhythms of transition through staging and staggering.
John R. Thompson 0002, Zhicheng Liu 0001, John T. Stasko   +2 more
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Classification with Gene Expression Data

2005
A survey is given of tasks related to the construction and evaluation of classifiers applied to a renal cell cancer data set. Balanced sample splitting, non-specific filtering, linear discriminant analysis, nearest-neighbor prediction, and support vector machines are all concretely illustrated using the MLInterfaces package. Evaluations based on single
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Biclustering in gene expression data by tendency

Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004., 2004
The advent of DNA microarray technologies has revolutionized the experimental study of gene expression. Clustering is the most popular approach of analyzing gene expression data and has indeed proven to be successful in many applications. Our work focuses on discovering a subset of genes which exhibit similar expression patterns along a subset of ...
Jinze Liu, Jiong Yang 0001, Wei Wang 0010   +2 more
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Fuzzy clustering of gene expression data

2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291), 2003
Microarray techniques have recently made it possible to monitor simultaneously the activity of thousands of genes. They offer new insights into the biology of a cell. However, the data produced by microarrays poses several challenges to overcome. One major task in the analysis of microarray data is to reveal structures in the data despite its large ...
Matthias E. Futschik, Nikola K. Kasabov
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