Výsledky vyhľadávania - "Microarray data"

CarbArrayART: a new software tool for carbohydrate microarray data storage, processing, presentation, and reporting Autor Akune, Yukie, Arpinar, Sena, Silva, Lisete M, Palma, Angelina S, Tajadura-Ortega, Virginia, Aoki-Kinoshita, Kiyoko F, Ranzinger, René, Liu, Yan, Feizi, Ten

“…Abstract Glycan microarrays are essential tools in glycobiology and are being widely used for assignment of glycan ligands in diverse glycan recognition…”
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Correlation feature selection based improved-Binary Particle Swarm Optimization for gene selection and cancer classification Autor Jain, Indu, Jain, Vinod Kumar, Jain, Renu

“…[Display omitted] •A two phase hybrid model based on improved-Binary Particle Swarm Optimization (iBPSO) is proposed for cancer diagnosis and classification…”
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A review of microarray datasets and applied feature selection methods Autor Bolón-Canedo, V., Sánchez-Maroño, N., Alonso-Betanzos, A., Benítez, J.M., Herrera, F.

“…•Feature selection is often required for microarray data classification.•We review the most up-to-date feature selection methods in this field.•We show the…”
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A Hybrid Feature Selection Based on Fisher score and SVM-RFE for Microarray Data Autor Hamla, Hind, Ghanem, Khadoudja

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Accelerating wrapper-based feature selection with K-nearest-neighbor Autor Wang, Aiguo, An, Ning, Chen, Guilin, Li, Lian, Alterovitz, Gil

“…•We propose to accelerate wrapper-based feature selection with a KNN classifier.•We construct a classifier distance matrix to evaluate the quality of a…”
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Classification of breast cancer using microarray gene expression data: A survey Autor Abd-Elnaby, Muhammed, Alfonse, Marco, Roushdy, Mohamed

“…Cancer, in particular breast cancer, is considered one of the most common causes of death worldwide according to the world health organization. For this…”
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Simultaneous Clustering and Feature Selection using Social Group Optimization with Dynamic Threshold Setting for Microarray Data Autor Meesala, Y V Nagesh, Parida, Ajaya Kumar, Naik, Anima

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Distributed feature selection: An application to microarray data classification Autor Bolón-Canedo, V., Sánchez-Maroño, N., Alonso-Betanzos, A.

“…[Display omitted] •Feature selection is indispensable when dealing with microarray data.•A new method for distributing the filtering process is proposed.•The…”
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Gene selection for microarray data classification using a novel ant colony optimization Autor Tabakhi, Sina, Najafi, Ali, Ranjbar, Reza, Moradi, Parham

“…The high-dimensionality of microarray data with small number of samples has presented a difficult challenge for the microarray data classification task. The…”
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Optimized gene selection and classification of cancer from microarray gene expression data using deep learning Autor Shah, Shamveel Hussain, Iqbal, Muhammad Javed, Ahmad, Iftikhar, Khan, Suleman, Rodrigues, Joel J. P. C.

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Gene selection for microarray data classification via multi-objective graph theoretic-based method Autor Rostami, Mehrdad, Forouzandeh, Saman, Berahmand, Kamal, Soltani, Mina, Shahsavari, Meisam, Oussalah, Mourad

“…In recent decades, the improvement of computer technology has increased the growth of high-dimensional microarray data. Thus, data mining methods for DNA…”
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Copula-Based Bayesian Model for Detecting Differential Gene Expression Autor Liyanaarachchi, Prasansha, Chaganty, N. Rao

“…Deoxyribonucleic acid, more commonly known as DNA, is a fundamental genetic material in all living organisms, containing thousands of genes, but only a subset…”
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A novel ECOC algorithm for multiclass microarray data classification based on data complexity analysis Autor Sun, MengXin, Liu, KunHong, Wu, QingQiang, Hong, QingQi, Wang, BeiZhan, Zhang, Haiying

“…•We proposed a novel ECOC algorithm for multiclass microarray data classification based on the data complexity theory.•Various data complexity measures are…”
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Multi-level pooling self-adaptive evolutionary multi-objective gene selection algorithm for microarray data classification Autor Li, Min, Cao, Rutun, Jin, Chen, Wang, Junke, Deng, Shaobo, Yu, Xiang

“…Gene selection is a vital preprocessing technique for cancer classification using microarray data, focusing on identifying a subset of genes that achieve high…”
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Implementation of CRNN Method for Lung Cancer Detection based on Microarray Data Autor Khoirunnisa, Azka, Adiwijaya, -, Adytia, Didit

“…Lung Cancer is one of the cancer types with the most significant mortality rate, mainly because of the disease's slow detection. Therefore, the early…”
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An efficient multivariate feature ranking method for gene selection in high-dimensional microarray data Autor Lee, Junghye, Choi, In Young, Jun, Chi-Hyuck

“…•Classification of microarray data plays a significant role in the diagnosis of cancer.•Feature selection is necessary for better analysis due to its…”
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Gene expression cancer classification using modified K-Nearest Neighbors technique Autor Ayyad, Sarah M., Saleh, Ahmed I., Labib, Labib M.

“…Gene expression microarray classification is a crucial research field as it has been employed in cancer prediction and diagnosis systems. Gene expression data…”
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BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches Autor Panda, Pinakshi, Bisoy, Sukant Kishoro, Panigrahi, Amrutanshu, Pati, Abhilash, Sahu, Bibhuprasad, Guo, Zheshan, Liu, Haipeng, Jain, Prince

“…Cancer rates are rising rapidly, causing global mortality. According to the World Health Organization (WHO), 9.9 million people died from cancer in 2020…”
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Gene selection for microarray cancer classification using a new evolutionary method employing artificial intelligence concepts Autor Dashtban, M., Balafar, Mohammadali

“…Gene selection is a demanding task for microarray data analysis. The diverse complexity of different cancers makes this issue still challenging. In this study,…”
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Optimizing cancer classification: a hybrid RDO-XGBoost approach for feature selection and predictive insights Autor Yaqoob, Abrar, Verma, Navneet Kumar, Aziz, Rabia Musheer, Shah, Mohd Asif

“…The identification of relevant biomarkers from high-dimensional cancer data remains a significant challenge due to the complexity and heterogeneity inherent in…”
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