Title
Characterization of complex biological systems by matrix invariants.
Abstract
One direction in exploring similarities among biological sequences (such as DNA, RNA, and proteins), is to associate with such systems ordered sets of sequence invariants. These invariants represent selected properties of mathematical objects, such as matrices, that one can associate with biological sequences. In this article, we are exploring properties of recently introduced Line Distance matrices, and in particular we consider properties of their eigen-values. We prove that Line Distance matrices of size n have one positive and n-1 negative eigen-values. Visual representation of Cauchy's interlacing property for Line Distance matrices is considered. Matlab programs for line distance matrices and examples are available on the following website: www.fmf.uni-lj.si/similar to jaklicg/ldmatrix.html.
Year
DOI
Venue
2006
10.1089/cmb.2006.13.1558
JOURNAL OF COMPUTATIONAL BIOLOGY
Keywords
Field
DocType
biological systems,eigenvalues,dna sequence,invariants
Discrete mathematics,Matrix analysis,Interlacing,Invariants of tensors,Distance matrices in phylogeny,Matrix (mathematics),Cauchy distribution,Invariant (mathematics),Eigenvalues and eigenvectors,Mathematics
Journal
Volume
Issue
ISSN
13.0
9
1066-5277
Citations 
PageRank 
References 
5
0.71
3
Authors
3
Name
Order
Citations
PageRank
Gasper Jaklic19815.30
Tomaz Pisanski28219.67
Milan Randic3635203.52