The Institute for Mathematical Sciences at the National University of Singapore organized a program on "Post-Genome Knowledge Discovery" from January to June 2002. The program focused on the computational and statistical analysis of sequences and genetics, and the mathematical modeling of complex biological interactions, which are critical to the accurate annotation of genomic sequences, the study of the interplay between genes and proteins, and the study of the genetic variability of species. As part of the program, tutorials for graduate students and newcomers to this transdisciplinary area of research were given by experts in these fields. This important volume collects the expanded notes of some of the tutorials that were given during the program. The topics include comparison and alignment of biological sequences, modeling and analysis of biological pathways, data mining and knowledge discovery from biological and clinical data.
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First Sentence:
Following its introduction by Needleman and Wunsch [23], dynamic programming has become the method of choice for "rigorous" alignment of DNA and protein sequences. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
query pathway, gene expression profile data, gene network inference, maximal frequent sequences, graphical model editor, boolean network model, maximum indegree, inhibitory arc, tabular computation, sequence mining, subsequence problem, pathway database, frequent itemsets, longest increasing subsequence, firing speed, continuous place, problem being analyzed, pathways database, gene networks, longest common subsequence, discrete transition, discrete place, gene expression data, object net, input arc Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, Genomic Object Net, Management of Data, Nucleic Acids Research, Journal of Molecular Biology, Pacific Symposium, Prediction of Protein Pathways, New York, Data Engineering, Artificial Intelligence, Monte Carlo, Name Type Delay, San Jose, European Conference, Journal of Molecular Evolution, Lecture Notes, Very Large Data Bases New!
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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Following its introduction by Needleman and Wunsch [23], dynamic programming has become the method of choice for "rigorous" alignment of DNA and protein sequences. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
query pathway, gene expression profile data, gene network inference, maximal frequent sequences, graphical model editor, boolean network model, maximum indegree, inhibitory arc, tabular computation, sequence mining, subsequence problem, pathway database, frequent itemsets, longest increasing subsequence, firing speed, continuous place, problem being analyzed, pathways database, gene networks, longest common subsequence, discrete transition, discrete place, gene expression data, object net, input arc Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, Genomic Object Net, Management of Data, Nucleic Acids Research, Journal of Molecular Biology, Pacific Symposium, Prediction of Protein Pathways, New York, Data Engineering, Artificial Intelligence, Monte Carlo, Name Type Delay, San Jose, European Conference, Journal of Molecular Evolution, Lecture Notes, Very Large Data Bases New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Citations (learn more)
This book cites 27
books:
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3
books
cite this book:
- Introduction to Bayesian Networks by Finn V. Jensen on page 123, and page 160
- An Introduction to Computational Learning Theory by Michael J. Kearns on page 123
- Classification and Regression Trees by Leo Breiman on page 159
- Data Mining by Jiawei Han on page 160
- Data Mining: Concepts and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management Systems) by Jiawei Han on page 160
See all 27 books this book cites
- An Introduction to Stein's Method (Lecture Notes Series, Institute for Mathematical Sciences, Vol. 4) (Lecture Notes Series, Institute for Mathematical Sciences, National University of Singapore) by A. D. Barbour in Front Matter
- Stein's Method and Applications (Lecture Notes Series, Institute for Mathematical Sciences, Vol. 5) (Lecture Notes Series, Institute for Mathematical Sciences, National University of Singapore) by A. D. Barbour in Front Matter
- Markov Chain Monte Carlo: Innovations And Applications (Lecture Notes Series, Institute for Mathematical Sciences, N) by W. S. Kendall in Front Matter
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