Výsledky vyhľadávania - "Microarray data"

Cancer classification through the selection of genes extracted from microarray data

Autori: Maiza, Mohammed Chouraqui, Samira Cherif, Chahira a ďalší

Prispievatelia: Maiza, Mohammed Chouraqui, Samira Cherif, Chahira a ďalší

Zdroj: PRZEGLĄD ELEKTROTECHNICZNY. 1:73-80

Predmety: Neural Networks, Gene Selection, [SPI] Engineering Sciences [physics], SVM, Decision Tree, k-NN, Microarray Data, Mutual Information, [PHYS] Physics [physics]

Efficient Hybrid-Robust Approach for Cancer Biomarker Discovery Using Omics Data

Autori: Karima Sid Soumia Zertal Mohamed Batouche a ďalší

Zdroj: IEEE Access, Vol 13, Pp 51130-51149 (2025)

Predmety: Markov blanket approximation, feature selection, classification, optimization algorithms, Electrical engineering. Electronics. Nuclear engineering, Biomarker discovery, microarray data, TK1-9971

Prístupová URL adresa: https://doaj.org/article/d382e55cd4a7417baec45b1813827a27

Supplementary Tables 3–8 for the DeFs-CBDE: Clustering-guided binary mutation in multi-objective differential evolution for microarray gene selection

Autori: DJELLAL SERANDI, MOHAMED

Predmety: microarray data, feature selection, optimization, differential evolution, mutation, multi-objective

Navigating the microarray landscape: a comprehensive review of feature selection techniques and their applications

Autori: Fangling Wang Azlan Mohd Zain Yanjie Ren a ďalší

Zdroj: Front Big Data
Frontiers in Big Data, Vol 8 (2025)

Predmety: Big Data, feature selection, machine learning, gene expression analysis, Information technology, microarray data, T58.5-58.64, cancer classification

Prístupová URL adresa: https://doaj.org/article/3eddb756b37945abb2622bf18621f384

Deciphering Alzheimer’s disease transcriptomics: exploration and validation of core genes in tau and Aβ pathological models toward novel therapeutic targets

Autori: Hui E. Zhang Meng Li Xiao Jin Jin Ji a ďalší

Zdroj: Frontiers in Aging Neuroscience, Vol 17 (2025)

Predmety: Alzheimer’s disease, microarray data, eQTL analysis, Mendelian randomization, qRT-PCR, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

Popis súboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fnagi.2025.1621153/full; https://doaj.org/toc/1663-4365

Prístupová URL adresa: https://doaj.org/article/baed369798b14972ad094c40c87f861b

IDENTIFYING IMPORTANT GENES IN OVARIAN CANCER FROM HIGH-DIMENSIONAL MICROARRAY DATA USING SIFS-CART METHOD

Autori: Nur Shofianah Umu Sa'adah Ni Kadek Emik Sapitri

Zdroj: Barekeng, Vol 18, Iss 3, Pp 1909-1918 (2024)

Predmety: machine learning, ovarian cancer, cart, important genes, sifs, microarray data, Probabilities. Mathematical statistics, QA273-280, 3. Good health

Prístupová URL adresa: https://doaj.org/article/d5229479411243968d4a3a67bacbbfce

Effective Cancer Diagnosis through High-Dimensional Microarray Data Analysis by Integrating DCT and UFS

Autori: Enes Efe

Zdroj: Volume: 7, Issue: 4693-704
Black Sea Journal of Engineering and Science

Predmety: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, Cancer, Microarray data, Discrete cosine transform, Univariate feature selection, Genomic data analysis, Electrical Engineering (Other), Biomedical Engineering (Other), Biyomedikal Mühendisliği (Diğer), Elektrik Mühendisliği (Diğer), 3. Good health

Popis súboru: application/pdf

Prístupová URL adresa: https://dergipark.org.tr/tr/pub/bsengineering/issue/84880/1492652

A multi-classification deep neural network for cancer type identification from high-dimension, small-sample and imbalanced gene microarray data

Autori: Yifu Zeng Yixiang Zhang Zikai Xiao a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-19 (2025)

Predmety: Cancer diagnosis, Gene microarray data, High dimensional, Low-sample-size, Multi-class imbalance, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/d232a527650b4d3b806d861617d92778

Comparison of the Performance of Random Forest and K-Nearest Neighbor in Classifying Leukemia Using Principal Component Analysis

Autori: Sriani Sriani Muhammad Ikhsan lailan sofinah harahap

Zdroj: Jurnal Sisfokom, Vol 13, Iss 2, Pp 288-292 (2024)

Predmety: pca, leukimia, knn, Information technology, microarray data, T58.5-58.64, random forest, 3. Good health

Prístupová URL adresa: https://doaj.org/article/ed7e5f36046b4896b1a1e03da1e8e031

A Novel Ensemble Feature Selection Technique for Cancer Classification Using Logarithmic Rank Aggregation Method

Autori: Hüseyin Güney Hüseyin Öztoprak

Zdroj: Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 12, Iss 2, Pp 1000-1035 (2024)

Predmety: 0301 basic medicine, Technology, Science (General), Science, destek vektör makineleri, 02 engineering and technology, microarray data, Engineering (General). Civil engineering (General), aggregation methods, tekrarlayan öznitelik seçimi (svm-rfe), Q1-390, 03 medical and health sciences, mikrodizi veri kümesi, 0202 electrical engineering, electronic engineering, information engineering, topluluk öğrenme, ensemble learning, TA1-2040, birleştirme yöntemleri, support vector machine recursive feature elimination (svm-rfe)

Prístupová URL adresa: https://doaj.org/article/593cd99bb2c24be8876ca347005f046c

Concordance between ER, PR, Ki67, and HER2‐low expression in breast cancer by MammaTyper RT‐qPCR and immunohistochemistry: implications for the practising pathologist

Autori: Nahla Badr Mohamed Zaakouk Qi Zhang a ďalší

Zdroj: Histopathology. 85:437-450

Predmety: Adult, 0301 basic medicine, Cancer Research, Receptor, ErbB-2, Biopsy, Breast Neoplasms, Real-Time Polymerase Chain Reaction, Chromosome, Gene, Biochemistry, Real-time polymerase chain reaction, Pathology and Forensic Medicine, 03 medical and health sciences, Breast cancer, 0302 clinical medicine, Biochemistry, Genetics and Molecular Biology, Microarray Data Analysis and Gene Expression Profiling, Health Sciences, Concordance, Biomarkers, Tumor, Pathology, Humans, Molecular Biology, Biology, Internal medicine, In Situ Hybridization, Fluorescence, Cancer, Fluorescence in situ hybridization, Life Sciences, Linguistics, Middle Aged, Immunohistochemistry, FOS: Philosophy, ethics and religion, 3. Good health, Philosophy, Ki-67 Antigen, Receptors, Estrogen, Oncology, Breast Pathology and Imaging Techniques, FOS: Languages and literature, Medicine, Female, Hormone Receptors, Biopsy, Large-Core Needle, Receptors, Progesterone, Kappa, Molecular Research on Breast Cancer

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38651302

Differential gene expression analysis in patients with primary hyperhidrosis

Autori: Ting Pu Muhammad Ameen Jamal Muhammad Nauman Tahir a ďalší

Zdroj: International Journal of Applied and Experimental Biology (2025)

Predmety: secondary hyperhidrosis, QH301-705.5, microarray data analysis, gene expression, Biology (General), anhidrosis, primary hyperhidrosis

Prístupová URL adresa: https://doaj.org/article/9911345335d1439faa69ffd4f5395605

BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches

Autori: Pinakshi Panda Sukant Kishoro Bisoy Amrutanshu Panigrahi a ďalší

Zdroj: Front Genet
Frontiers in Genetics, Vol 15 (2025)

Predmety: feature selection, swarm intelligence, Genetics, ensemble learning, cancer prediction, QH426-470, microarray data

Prístupová URL adresa: https://doaj.org/article/2587254584454a28afabb24f4b40abdc

A hybrid sampling combining Smote and RF algorithm for cancer chemotherapy protocols Classification

Autori: Houda AIT BRAHIM Oumayma Banouar Salah EL-HADAJ a ďalší

Zdroj: Statistics, Optimization & Information Computing. 12:617-629

Predmety: Life Sciences, Detector, Sampling (signal processing), 15. Life on land, Computer science, Clustering, 3. Good health, Algorithm, Biochemistry, Genetics and Molecular Biology, Microarray Data Analysis and Gene Expression Profiling, Telecommunications, Medicine, Feature Selection, Molecular Biology, Internal medicine, Cancer

Identification the Low Oxidative Stress Subtype of Periodontitis

Autori: Yuchen Wu Xianfang Zhang Yunong Chen a ďalší

Zdroj: Int Dent J
International Dental Journal, Vol 74, Iss 1, Pp 119-128 (2024)

Predmety: TFs-Genes-Medicines network, Scientific Research Report, Gene Expression Profiling, Low oxidative stress, RK1-715, 3. Good health, Oxidative Stress, Dentistry, Machine learning, Humans, Protein Interaction Maps, Periodontitis, Microarray data, Transcription Factors

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37821327
https://doaj.org/article/158ba5a37aa044438ff5075b725cef1f

MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics

Autori: Hudhaifa Mohammed Abdulwahab S. Ajitha Mufeed Ahmed Naji Saif a ďalší

Zdroj: IEEE Access, Vol 12, Pp 21840-21867 (2024)

Predmety: FOS: Computer and information sciences, Artificial intelligence, Bioinformatics, Pattern recognition (psychology), Features selection, Selection (genetic algorithm), Artificial Intelligence, Biochemistry, Genetics and Molecular Biology, Support Vector Machines, Microarray Data Analysis and Gene Expression Profiling, Machine learning, FOS: Mathematics, Swarm Intelligence Optimization Algorithms, Feature Selection, Molecular Biology, Constraint Handling, Prediction of Protein Subcellular Localization, Arithmetic, Particle swarm optimization, Life Sciences, Cuckoo search, data mining, bioinformatics, Computer science, TK1-9971, 3. Good health, Algorithm, machine learning, multi-objective optimization, Genetic algorithm, Computer Science, Physical Sciences, Nature-Inspired Algorithms, cuckoo search algorithm, Electrical engineering. Electronics. Nuclear engineering, Binary number, Mathematics

Prístupová URL adresa: https://doaj.org/article/25c7751d294147d98aaa4638d7d2d53e

Sparse Variable Selection on High Dimensional Heterogeneous Data With Tree Structured Responses

Autori: Hui Liu Xiang Liu Jing Diao a ďalší

Zdroj: IEEE Access, Vol 12, Pp 50779-50791 (2024)

Predmety: Statistics and Probability, FOS: Computer and information sciences, 0301 basic medicine, Artificial intelligence, Learning and Inference in Bayesian Networks, mixed model, Confounding factors, Regularization and Variable Selection Methods, Mathematical analysis, 01 natural sciences, Methodology (stat.ME), 03 medical and health sciences, Selection (genetic algorithm), Artificial Intelligence, Lasso (programming language), Biochemistry, Genetics and Molecular Biology, Microarray Data Analysis and Gene Expression Profiling, Machine learning, FOS: Mathematics, Confounding, Sparse Models, Feature Selection, 0101 mathematics, Variable (mathematics), Molecular Biology, Data mining, Statistics - Methodology, Model Selection, 0303 health sciences, genome-wide association study, Statistics, Pure mathematics, Life Sciences, Computer science, TK1-9971, World Wide Web, Dimension (graph theory), Variable Selection, Physical Sciences, Computer Science, Feature selection, Tree (set theory), Dependency (UML), Electrical engineering. Electronics. Nuclear engineering, High-Dimensional Data, Mathematics, variable selection

Prístupová URL adresa: http://arxiv.org/abs/1711.08265
https://doaj.org/article/1b1ef698156b4e45b7bc98012a462253

Feature Selection of Gene Expression Data Using a Modified Artificial Fish Swarm Algorithm With Population Variation

Autori: Zong-Zheng Li Fang-Ling Wang Feng Qin a ďalší

Zdroj: IEEE Access, Vol 12, Pp 72688-72706 (2024)

Predmety: 0301 basic medicine, 03 medical and health sciences, Feature selection, gene expression, 0202 electrical engineering, electronic engineering, information engineering, population variation, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, microarray data, modified artificial fish swarm algorithm, TK1-9971

Prístupová URL adresa: https://doaj.org/article/78a95c53d84e44c9b8cb662fbeb61c07

Fuzzy mixed-prototype clustering algorithm for microarray data analysis

Autori: Liu, Jin Pham, Tuan Yan, Hong a ďalší

Zdroj: Neurocomputing. 276:42-54

Predmety: FMP, Microarray data analysis, Fuzzy clustering

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141163
https://liu.diva-portal.org/smash/get/diva2:1144031/FULLTEXT01.pdf

Hybrid Gene Selection Algorithm for Cancer Classification Using Nuclear Reaction Optimization (NRO)

Autori: Shahad Alkamli Hala Alshamlan

Zdroj: Current Issues in Molecular Biology, Vol 47, Iss 9, p 683 (2025)

Predmety: gene selection, microarray data, cancer classification, nuclear reaction optimization, metaheuristic algorithms, feature selection, Biology (General), QH301-705.5

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1467-3045/47/9/683; https://doaj.org/toc/1467-3037; https://doaj.org/toc/1467-3045

Prístupová URL adresa: https://doaj.org/article/c11edaa82c2e4efe8ee399ea180c7e30