Bioinformatics Applications Based On Machine Learning

• Beste egile batzuk: Chamoso, Pablo (Argitaratzailea), Rodriguez, Sara (Argitaratzailea), Mohamad, Mohd (Argitaratzailea), González-Briones, Alfonso (Argitaratzailea)
• Formatua: Baliabide elektronikoa Liburu kapitulua
• Hizkuntza: ingelesa
• Argitaratua: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Gaiak: Technology: general issues; 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
• Sarrera elektronikoa: DOAB: download the publication; DOAB: description of the publication

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...