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Computers --- Microprocessors --- Electronics --- Weka --- Audiovisuel --- Convertisseur digital --- Convertisseur analogique --- Fonction mathematique --- Touche a effleurement --- Compteur de tension --- Data processing --- Sound --- Circuit integre --- Convertisseur --- Caracteristiques --- Processeur arithmetique --- Circuit integre numerique --- Circuit integre lineaire --- Hardware --- Commutateur a seuil --- Circuit ttl --- Circuit cmos --- Optoelectronique --- Synthese vocale --- Traitement de la parole --- Microprocesseurs --- Memoire eprom

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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.

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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

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 --- 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