Abstract
Large-scale data collection technologies have come to play a central role in biological and biomedical research in the last decade. Consequently, it has become a major goal of functional genomics to develop, based on such data, a comprehensive description of the functions and interactions of all genes and proteins in a genome. Most large-scale biological data, including gene expression profiles, are usually represented by a matrix, where n genes are examined in d experiments. Here, we view such data as a set of n points (vectors) in d-dimensional space, each of which represents the profile of a given gene over d different experimental conditions. Many known methods that have yielded meaningful biological insights seek geometric or algebraic features of these vectors.
Original language | English |
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Title of host publication | Research in Computational Molecular Biology - 15th Annual International Conference, RECOMB 2011, Proceedings |
Editors | Vineet Bafna, S. Cenk Sahinalp |
Publisher | Springer Verlag |
Pages | 355-357 |
Number of pages | 3 |
ISBN (Print) | 9783642200359 |
DOIs | |
State | Published - 2011 |
Event | 15th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2011 - Vancouver, Canada Duration: 28 Mar 2011 → 31 Mar 2011 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 6577 LNBI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 15th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2011 |
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Country/Territory | Canada |
City | Vancouver |
Period | 28/03/11 → 31/03/11 |
Bibliographical note
Publisher Copyright:© 2011, Springer-Verlag Berlin Heidelberg.