Probabilistic Methods for Bioinformatics
with an Introduction to Bayesian NetworksBy
- Richard E. Neapolitan
This book is for all R&D professionals and students who are involved with industrial informatics, that is, applying the methodologies of computer science and engineering to biological information. This includes Computer Science and other professionals in the data management and data mining field whose interests are bioinformatics in general, and who want to apply AI and probabilistic methods to their problems--in order to better make predictions about the data. For instance, suppose you have long homologous DNA sequences from the human, the chimpanzee, the gorilla, the orangutan, and the rhesus monkey. One can use the methologies from informatics to obtain new information about which species is most closely related to the human.
Hardbound, 424 Pages
Published: April 2009
Imprint: Morgan Kaufmann
Â¿Probabilistic Methods for Financial and Marketing Informatics makes important and novel contributions to understanding investment strategies and should be welcomed by practitioners and researchers alikeÂ¿Â¿ --Tony Volpon, Strategist/Chief Economist, CM Capital Markets Â¿Richard Neapolitan's new book with Xia Jiang on Bayes nets and its applications to finance and marketing is a must-read for professionals in the finance and marketing communities. The relatively new technique of Bayes nets has great potential for managing uncertainty in all domains. But applications of this technique in finance and marketing have not been widely reported to date. This new book fills this gaping void at a level most professionals can easily understand. Congratulations to Neapolitan and Jiang for this excellent addition to the literature on Bayes nets!Â¿ --Prakash P. Shenoy, University of Kansas