@inproceedings{d218a2bae73544f9b2506d86738198f7,
title = "Geometric Interpretation of Gene Expression by Sparse Reconstruction of Transcript Profiles",
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.",
author = "Yosef Prat and Menachem Fromer and Michal Linial and Nathan Linial",
note = "Publisher Copyright: {\textcopyright} 2011, Springer-Verlag Berlin Heidelberg.; 15th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2011 ; Conference date: 28-03-2011 Through 31-03-2011",
year = "2011",
doi = "10.1007/978-3-642-20036-6\_33",
language = "الإنجليزيّة",
isbn = "9783642200359",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "355--357",
editor = "Vineet Bafna and Sahinalp, \{S. Cenk\}",
booktitle = "Research in Computational Molecular Biology - 15th Annual International Conference, RECOMB 2011, Proceedings",
address = "ألمانيا",
}