| 书目名称 | Data Mining for Biomarker Discovery |
| 编辑 | Panos M. Pardalos,Petros Xanthopoulos,Michalis Zer |
| 视频video | |
| 概述 | Presents the most challenging problems in biomarker discovery together with the most prominent methodological approaches for developing their effective solution.Offers the collaborative perspectives o |
| 丛书名称 | Springer Optimization and Its Applications |
| 图书封面 |  |
| 描述 | .Biomarker discovery is an important area of biomedical research that may lead to significant breakthroughs in disease analysis and targeted therapy. Biomarkers are biological entities whose alterations are measurable and are characteristic of a particular biological condition. Discovering, managing, and interpreting knowledge of new biomarkers are challenging and attractive problems in the emerging field of biomedical informatics..This volume is a collection of state-of-the-art research into the application of data mining to the discovery and analysis of new biomarkers. Presenting new results, models and algorithms, the included contributions focus on biomarker data integration, information retrieval methods, and statistical machine learning techniques..This volume is intended for students, and researchers in bioinformatics, proteomics, and genomics, as well engineers and applied scientists interested in the interdisciplinary application of data mining techniques.. |
| 出版日期 | Book 2012 |
| 关键词 | Bioinformatics; Biomarker Discovery; Biomedical Engineering; Biomedical Informatics; Biomedical Research |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4614-2107-8 |
| isbn_softcover | 978-1-4899-9643-5 |
| isbn_ebook | 978-1-4614-2107-8Series ISSN 1931-6828 Series E-ISSN 1931-6836 |
| issn_series | 1931-6828 |
| copyright | Springer Science+Business Media, LLC 2012 |
发表于 2025-3-21 18:59:51
