Cargando…
Biomarker Discovery Based on Hybrid Optimization Algorithm and Artificial Neural Networks on Microarray Data for Cancer Classification
The improvement of high-through-put gene profiling based microarrays technology has provided monitoring the expression value of thousands of genes simultaneously. Detailed examination of changes in expression levels of genes can help physicians to have efficient diagnosing, classification of tumors...
Autores principales: | Moteghaed, Niloofar Yousefi, Maghooli, Keivan, Pirhadi, Shiva, Garshasbi, Masoud |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4460670/ https://www.ncbi.nlm.nih.gov/pubmed/26120567 |
Ejemplares similares
-
Biomarker Discovery by Imperialist Competitive Algorithm in Mass Spectrometry Data for Ovarian Cancer Prediction
por: Pirhadi, Shiva, et al.
Publicado: (2021) -
Improving Classification of Cancer and Mining Biomarkers from Gene Expression Profiles Using Hybrid Optimization Algorithms and Fuzzy Support Vector Machine
por: Moteghaed, Niloofar Yousefi, et al.
Publicado: (2018) -
An innovative approach for determining the customized refractive index of ectatic corneas in cataractous patients
por: Pirhadi, Shiva, et al.
Publicado: (2020) -
Biomedical Image Denoising Based on Hybrid Optimization Algorithm and Sequential Filters
por: N., Yousefi Moteghaed, et al.
Publicado: (2020) -
A Hybrid EEG-based Emotion Recognition Approach Using Wavelet Convolutional Neural Networks and Support Vector Machine
por: Bagherzadeh, Sara, et al.
Publicado: (2023)