Bioinformatics Applications Based On Machine Learning

Bioinformatics Applications Based On Machine Learning

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...

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Detalles Bibliográficos
Otros Autores: Chamoso, Pablo (Editor), Rodriguez, Sara (Otro), Mohamad, Mohd, González-Briones, Alfonso
Formato: Libro electrónico
Idioma:Inglés
Publicado: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Materias:
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
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009741226406719
Descripción
Sumario: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.
Descripción Física:1 electronic resource (206 p.)

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