Bioinformatics Applications Based On Machine Learning
Material type:![Article](/opac-tmpl/lib/famfamfam/AR.png)
- books978-3-0365-0761-3
- 9783036507606
- 9783036507613
- 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
Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
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OPJGU Sonepat- Campus | E-Books Open Access | Available |
Open Access star Unrestricted online 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 https://creativecommons.org/licenses/by/4.0/ cc https://creativecommons.org/licenses/by/4.0/
English
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