Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome
Language: English
Published by Elsevier Science, 2018
- Softcover
- New

Condition: New
£ 86.70
Quantity: 1 available
Add to basketItem description from seller
Provides well described techniques for the purpose of gene selection/feature selection for the generation of gene subsets Presents and analyzes three different types of gene selection algorithms: Support Vector Machine-Bayesian T-Test-Recu.
Seller Inventory # 839287527
- Title
- Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome
- Author
- Shruti Mishra|Debahuti Mishra|Sandeep Kumar Satapathy
- Publisher
- Elsevier Science
- Publication year
- 2018
- Condition
- New
- Binding
- Kartoniert / Broschiert
- Language
- English
- ISBN 10
- 0128163569
- ISBN 13
- 9780128163566
Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome helps readers identify and select the specific genes causing oncogenes. The book also addresses the validation of the selected genes using various classification techniques and performance metrics, making it a valuable source for cancer researchers, bioinformaticians, and researchers from diverse fields interested in applying systems biology approaches to their studies.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Sandeep Kumar Satapathy is currently working as an Associate Professor in the Department of Computer Science & Engineering and is also the Head of the Department of Information Technology at Vignana Bharathi Institute of Technology. Dr. Satapathy did his doctorate in the field of Data Mining & Machine Learning, and his thesis included a detailed classification of brain EEG signals using machine learning techniques. He has been member to various academic committees within the institution. Also, he has been an active reviewer in various peer reviewed journals and presented papers in prestigious conferences. He has also reviewed many research articles and books for Elsevier for possible publication. Prof. Satapathy is highly engrossed into the area of deep learning and image processing. He has many research publications to his credit, that is more than 25 research articles, book chapters and has guided more than 10 master thesis. Dr. Satapathy has also authored a book entitled Frequent Pattern Discovery from Gene Expression Data: An Experimental Approach. He is currently member of many professional organizations and societies. His research interest includes Bioinformatics and computational approaches to biomedical field.
"About the title" may belong to another edition of this title.
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