Biological pattern discovery with R [electronic resource] : (Record no. 97807)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02583nam a2200409 a 4500 |
| 001 - CONTROL NUMBER | |
| control field | 00012366 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240731095222.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 211012s2021 si ob 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789811240126 |
| -- | (ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9811240124 |
| -- | (ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | (hbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | (hbk.) |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 570.1/13 |
| 100 1# - AUTHOR NAME | |
| Author | Yang, Zheng Rong. |
| 245 10 - TITLE STATEMENT | |
| Title | Biological pattern discovery with R [electronic resource] : |
| Sub Title | machine learning approaches / |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Singapore : |
| Publisher | World Scientific, |
| Year of publication | 2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (464 p.) |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Introduction -- Responsive gene discovery -- Protease cleavage pattern discovery -- Genetic-epigenetic interplay discovery -- Spectral pattern discovery -- Gene expression pattern discovery -- Whole genome pattern discovery -- Optimised peptide pattern discovery -- Advanced subjects. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "This book provides the research directions for new or junior researchers who are going to use machine learning approaches for biological pattern discovery. The book was written based on the research experience of the author's several research projects in collaboration with biologists worldwide. The chapters are organised to address individual biological pattern discovery problems. For each subject, the research methodologies and the machine learning algorithms which can be employed are introduced and compared. Importantly, each chapter was written with the aim to help the readers to transfer their knowledge in theory to practical implementation smoothly. Therefore, the R programming environment was used for each subject in the chapters. The author hopes that this book can inspire new or junior researchers' interest in biological pattern discovery using machine learning algorithms"-- |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Simulation methods. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.worldscientific.com/worldscibooks/10.1142/12366#t=toc |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 520 ## - SUMMARY, ETC. | |
| -- | Publisher's website. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Biological systems |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Pattern recognition systems. |
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