Cargando…
Interval-value Based Particle Swarm Optimization algorithm for cancer-type specific gene selection and sample classification
Microarray technology allows simultaneous measurement of the expression levels of thousands of genes within a biological tissue sample. The fundamental power of microarrays lies within the ability to conduct parallel surveys of gene expression using microarray data. The classification of tissue samp...
Autores principales: | Ramyachitra, D., Sofia, M., Manikandan, P. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4583628/ https://www.ncbi.nlm.nih.gov/pubmed/26484222 http://dx.doi.org/10.1016/j.gdata.2015.04.027 |
Ejemplares similares
-
Bacterial Foraging Optimization –Genetic Algorithm for Multiple Sequence Alignment with Multi-Objectives
por: Manikandan, P., et al.
Publicado: (2017) -
An adapted particle swarm optimization algorithm as a model for exploring premyofibril formation
por: Sherman, William, et al.
Publicado: (2020) -
A novel approach for optimization of convolution neural network with hybrid particle swarm and grey wolf algorithm for classification of Indian classical dances
por: Challapalli, Jhansi Rani, et al.
Publicado: (2022) -
Chaotic Particle Swarm Optimization with Mutation for Classification
por: Assarzadeh, Zahra, et al.
Publicado: (2015) -
A Swarm Optimization Genetic Algorithm Based on Quantum-Behaved Particle Swarm Optimization
por: Sun, Tao, et al.
Publicado: (2017)