| 书目名称 | Intelligent Computing in Carcinogenic Disease Detection |
| 编辑 | Kaushik Das Sharma,Subhajit Kar,Madhubanti Maitra |
| 视频video | |
| 概述 | Comprehensively presents intelligent methodologies for detecting and classifying carcinogenic diseases.Blends theory and practice, presenting state-of-the-art methodologies.Present case studies involv |
| 丛书名称 | Computational Intelligence Methods and Applications |
| 图书封面 |  |
| 描述 | .This book draws on a range of intelligent computing methodologies to effectively detect and classify various carcinogenic diseases. These methodologies, which have been developed on a sound foundation of gene-level, cell-level and tissue-level carcinogenic datasets, are discussed in Chapters 1 and 2. ..Chapters 3, 4 and 5 elaborate on several intelligent gene selection methodologies such as filter methodologies and wrapper methodologies. In addition, various gene selection philosophies for identifying relevant carcinogenic genes are described in detail. In turn, Chapters 6 and 7 tackle the issues of using cell-level and tissue-level datasets to effectively detect carcinogenic diseases. The performance of different intelligent feature selection techniques is evaluated on cell-level and tissue-level datasets to validate their effectiveness in the context of carcinogenic disease detection. ..In closing, the book presents illustrative case studies that demonstrate the value of intelligent computing strategies.. |
| 出版日期 | Book 2024 |
| 关键词 | Microarray gene expression profile; Gene selection; PSO-based adaptive k-NN; Weighted aggregation-based |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-97-2424-6 |
| isbn_softcover | 978-981-97-2426-0 |
| isbn_ebook | 978-981-97-2424-6Series ISSN 2510-1765 Series E-ISSN 2510-1773 |
| issn_series | 2510-1765 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
发表于 2025-3-21 19:15:07
