Reverse Engineering of Molecular Networks from a Common Combinatorial Approach

Details Reverse Engineering of Molecular Networks from a Common Combinatorial Approach Reverse Engineering of Molecular Networks from a Common Combinatorial Approach

2011-02-24

arxiv.org/abs/1102.4904v1

Biology

Quantitative Biology

Molecular Networks

15 pages; in Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications, M. Elloumi and A. Zomaya

Scientific paper

The understanding of molecular cell biology requires insight into the structure and dynamics of networks that are made up of thousands of interacting molecules of DNA, RNA, proteins, metabolites, and other components. One of the central goals of systems biology is the unraveling of the as yet poorly characterized complex web of interactions among these components. This work is made harder by the fact that new species and interactions are continuously discovered in experimental work, necessitating the development of adaptive and fast algorithms for network construction and updating. Thus, the "reverse-engineering" of networks from data has emerged as one of the central concern of systems biology research. A variety of reverse-engineering methods have been developed, based on tools from statistics, machine learning, and other mathematical domains. In order to effectively use these methods, it is essential to develop an understanding of the fundamental characteristics of these algorithms. With that in mind, this chapter is dedicated to the reverse-engineering of biological systems. Specifically, we focus our attention on a particular class of methods for reverse-engineering, namely those that rely algorithmically upon the so-called "hitting-set" problem, which is a classical combinatorial and computer science problem, Each of these methods utilizes a different algorithm in order to obtain an exact or an approximate solution of the hitting set problem. We will explore the ultimate impact that the alternative algorithms have on the inference of published in silico biological networks.

Affiliated with

Also associated with

No associations

Rating

Reverse Engineering of Molecular Networks from a Common Combinatorial Approach does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Reverse Engineering of Molecular Networks from a Common Combinatorial Approach, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Reverse Engineering of Molecular Networks from a Common Combinatorial Approach will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-86175