Bioinformatics Applications Based On Machine Learning

doi:10.3390/books978-3-0365-0761-3

Download Url(s)

https://mdpi.com/books/pdfview/book/3940

Contributor(s)

Chamoso, Pablo (editor)

Rodriguez, Sara (editor)

Mohamad, Mohd (editor)

González-Briones, Alfonso (editor)

Language

English

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Abstract

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.

URI

https://directory.doabooks.org/handle/20.500.12854/76494

Keywords

machine learning; metagenomics; bioinformatics; CTX-M; data mining; cluster; clinical implications; diabetes; epidemiology; forecast; PART; Decision table; Weka; real-life patients; regression; 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; deep learning; detection; classification; mitochondrial protein; bi-directional LSTM; plasmodium falciparum; Particle Swarm Optimization; Harmony Search; parameter estimation; Arabidopsis thaliana; clinical data; feature selection; genetic programming; evolutionary computation; dynamic models; evolutionary computing; derivative-free optimization; metabolism; glycolysis; yeast