Reprint
Bioinformatics Applications Based On Machine Learning
Edited by
June 2021
206 pages
- ISBN978-3-0365-0760-6 (Hardback)
- ISBN978-3-0365-0761-3 (PDF)
This book is a reprint of the Special Issue Bioinformatics Applications Based On Machine Learning that was published in
Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Summary
The great advances in information technology (IT) have implications for many sectors, such as bioinformatics, and has considerably increased their possibilities. This book presents a collection of 11 original research papers, all of them related to the application of IT-related techniques within the bioinformatics sector: from new applications created from the adaptation and application of existing techniques to the creation of new methodologies to solve existing problems.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
machine learning; metagenomics; bioinformatics; CTX-M; data mining; cluster; clinical implications; diabetes; epidemiology; forecast; PART; Decision table; Weka; real-life patients; regression; machine learning; ear detection; computer vision; convolutional neural network; image recognition; video analysis; gene clustering; swarm intelligence; biological functions detection; informative genes; fuel cell; hydrogen energy; intelligent systems; hybrid systems; Artificial Neural Networks; power management; Machine Learning; personality assessment; gradient boosting; Affective Computing; transposable elements; metrics; machine learning; deep learning; detection; classification; mitochondrial protein; machine learning; bi-directional LSTM; plasmodium falciparum; Particle Swarm Optimization; Harmony Search; parameter estimation; Arabidopsis thaliana; clinical data; feature selection; genetic programming; machine learning; data mining; evolutionary computation; dynamic models; evolutionary computing; derivative-free optimization; metabolism; glycolysis; yeast