Bioinformatics : (Record no. 72875)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 03953nam a2200661 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 6267217 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220712204601.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 151223s2001 maua ob 001 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780262255707 |
| -- | ebook |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | elelelectronic |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 572.8/01/13 |
| 100 1# - AUTHOR NAME | |
| Author | Baldi, Pierre, |
| 245 10 - TITLE STATEMENT | |
| Title | Bioinformatics : |
| Sub Title | the machine learning approach / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd ed. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 PDF (xxi, 452 pages) : |
| 490 1# - SERIES STATEMENT | |
| Series statement | Adaptive computation and machine learning series |
| 500 ## - GENERAL NOTE | |
| Remark 1 | "A Bradford book." |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | An unprecedented wealth of data is being generated by genome sequencing projects and other experimental efforts to determine the structure and function of biological molecules. The demands and opportunities for interpreting these data are expanding rapidly. Bioinformatics is the development and application of computer methods for management, analysis, interpretation, and prediction, as well as for the design of experiments. Machine learning approaches (e.g., neural networks, hidden Markov models, and belief networks) are ideally suited for areas where there is a lot of data but little theory, which is the situation in molecular biology. The goal in machine learning is to extract useful information from a body of data by building good probabilistic models--and to automate the process as much as possible.In this book Pierre Baldi and Soren Brunak present the key machine learning approaches and apply them to the computational problems encountered in the analysis of biological data. The book is aimed both at biologists and biochemists who need to understand new data-driven algorithms and at those with a primary background in physics, mathematics, statistics, or computer science who need to know more about applications in molecular biology.This new second edition contains expanded coverage of probabilistic graphical models and of the applications of neural networks, as well as a new chapter on microarrays and gene expression. The entire text has been extensively revised. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Computer simulation. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Mathematical models. |
| 650 12 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | methods. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Brunak, Sren. |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267217 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cambridge, Massachusetts : |
| -- | MIT Press, |
| -- | c2001. |
| 264 #2 - | |
| -- | [Piscataqay, New Jersey] : |
| -- | IEEE Xplore, |
| -- | [2001] |
| 336 ## - | |
| -- | text |
| -- | rdacontent |
| 337 ## - | |
| -- | electronic |
| -- | isbdmedia |
| 338 ## - | |
| -- | online resource |
| -- | rdacarrier |
| 588 ## - | |
| -- | Description based on PDF viewed 12/23/2015. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Bioinformatics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Molecular biology |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Molecular biology |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Neural networks (Computer science) |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Markov processes. |
| 650 12 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational Biology |
| 650 22 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence. |
| 650 22 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Markov Chains. |
| 650 22 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Models, Theoretical. |
| 650 22 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Neural Networks (Computer) |
No items available.