Statistical genomics is a rapidly developing field, with more
and more people involved in this area. However, a lack of synthetic
reference books and textbooks in statistical genomics has become a
major hurdle on the development of the field. Although many books
have been published recently in bioinformatics, most of them
emphasize DNA sequence analysis under a deterministic approach.
"Principles of Statistical Genomics" synthesizes the
state-of-the-art statistical methodologies (stochastic approaches)
applied to genome study. It facilitates understanding of the
statistical models and methods behind the major bioinformatics
software packages, which will help researchers choose the optimal
algorithm to analyze their data and better interpret the results of
their analyses. Understanding existing statistical models and
algorithms assists researchers to develop improved statistical
methods to extract maximum information from their data.
Resourceful and easy to use, "Principles of Statistical
Genomics" isa comprehensive reference for researchers and graduate
students studying statistical genomics. "
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!