Pattern discovery in bioinformatics : Theory & algorithms
As in most scientific endeavors, bioinformatics requires more than a manual and a few anecdotes. Parida (no affiliation given) proves that researchers in bioinformatics need algorithmic and statistical expertise and ingenuity. Without using models she explains how to locate modes of regularities in...
Đã lưu trong:
| Tác giả chính: | |
|---|---|
| Định dạng: | Sách |
| Ngôn ngữ: | Undetermined |
| Được phát hành: |
Boca Raton
Chapman & Hall/CRC
2008
|
| Những chủ đề: | |
| Các nhãn: |
Thêm thẻ
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
|
| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Cần Thơ |
|---|
| Tóm tắt: | As in most scientific endeavors, bioinformatics requires more than a manual and a few anecdotes. Parida (no affiliation given) proves that researchers in bioinformatics need algorithmic and statistical expertise and ingenuity. Without using models she explains how to locate modes of regularities in large amounts of biological data, including string patterns, patterned clusters, permutation patterns, topological patterns, partial order patterns, and boolean expressions. She starts with the fundamentals for novices, including basic algorithms and statistics and the characteristics of patterns, then moves on the biopolymers, Bernoulli schemes and Markov, string pattern specifications, algorithms and pattern statistics, motif learning and patterns on meta-data such as permutation patterns and their probabilities, topological motifs, set-theoretic algorithmic tools, expression and partial order motifs. |
|---|