Bioinformatics Applications Based On Machine Learning
Chamoso, Pablo
Bioinformatics Applications Based On Machine Learning - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (206 p.)
Open Access
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.
Creative Commons
English
books978-3-0365-0761-3 9783036507606 9783036507613
10.3390/books978-3-0365-0761-3 doi
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
Bioinformatics Applications Based On Machine Learning - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (206 p.)
Open Access
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.
Creative Commons
English
books978-3-0365-0761-3 9783036507606 9783036507613
10.3390/books978-3-0365-0761-3 doi
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