Reference : Ties between graph theory and biology
Parts of books : Contribution to collective works
Engineering, computing & technology : Computer science
Ties between graph theory and biology
Blazewicz, Jacek []
Kasprzak, Marta []
Vlassis, Nikos mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Handbook of Graph Theory
Gross, Jonathan L.
Yellen, Jay
Zhang, Ping
Chapman and Hall/CRC
Series:Discrete Mathematics and Its Applications
[en] Last decades brought us a new scientific area of computational biology, placed at the junction of biology (especially molecular biology), computer science and mathematics. Its aim is to solve real-world problems arising in biology with the use of mathematical models and methods, and tools from computer science. Molecular biology, due to its rapid progress, yields more and more experimental data, possible to be processed on computers only. Efficient processing and advisable analysis must be accompanied by well suited models and methods, the ones coming from graph theory frequently appeared to be most useful. Here, the most interesting and breakthrough approaches of computational biology tied with graph theory are characterized.
Luxembourg Centre for Systems Biomedicine (LCSB): Machine Learning (Vlassis Group)

There is no file associated with this reference.

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.