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检索条件"主题词=Microarray Dataset"
81 条 记 录,以下是1-10 订阅
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Classification of ALL, AML and MLL leukaemia types on microarray dataset using LSTM neural network approach
JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GA...
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JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY 2023年 第3期38卷 1299-1306页
作者: Akalin, Fatma Yumusak, Nejat Sakarya Univ Fac & Informat Sci Dept Informat Syst Engn TR-54187 Sakarya Turkiye Sakarya Univ Fac & Informat Sci Dept Comp Engn TR-54187 Sakarya Turkiye
In this study, it is realized to differentiate ALL, AML and MLL malignancies, which are the types of leukaemia, using the microarray dataset. The flow chart related to the classification of malignancies is given in Fi... 详细信息
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A scalable association rule learning and recommendation algorithm for large-scale microarray datasets
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JOURNAL OF BIG DATA 2022年 第1期9卷 1-25页
作者: Li, Haosong Sheu, Phillip C-Y Univ Calif Irvine Dept Elect Engn & Comp Sci Irvine CA 92697 USA
Association rule learning algorithms have been applied to microarray datasets to find association rules among genes. With the development of microarray technology, larger datasets have been generated recently that cha... 详细信息
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Supervised feature selection on gene expression microarray datasets using manifold learning
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CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2023年 第1期237卷
作者: Zare, Masoumeh Azizizadeh, Najmeh Kazemipour, Ali Shahid Bahonar Univ Kerman Res Inst Plant Prod Technol Kerman Iran Shahid Bahonar Univ Kerman Fac Math & Comp Dept Appl Math Kerman Iran Shahid Bahonar Univ Kerman Dept Agron & Plant Breeding Kerman Iran
In recent decades, the ultimate output from microarray assay, has produced enormous numbers of microarray datasets, regardless of the used technology. These datasets include complex and high dimensional samples and ge... 详细信息
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Feature selection techniques for microarray datasets:a comprehensive review,taxonomy,and future directions
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Frontiers of Information Technology & Electronic Engineering 2022年 第10期23卷 1451-1478页
作者: Kulanthaivel BALAKRISHNAN Ramasamy DHANALAKSHMI Department of Computer Science and Engineering Indian Institute of Information TechnologyTiruchirappalli 620012India
For optimal results,retrieving a relevant feature from a microarray dataset has become a hot topic for researchers involved in the study of feature selection(FS)*** aim of this review is to provide a thorough descript... 详细信息
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Dual regularized subspace learning using adaptive graph learning and rank constraint: Unsupervised feature selection on gene expression microarray datasets
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COMPUTERS IN BIOLOGY AND MEDICINE 2023年 167卷 107659-107659页
作者: Moslemi, Amir Ahmadian, Arash Sunnybrook Hlth Sci Ctr Imaging Res & Phys Sci Toronto ON Canada Univ Toronto Edward S Rogers Sr Dept Elect & Comp Engn Toronto ON Canada
High-dimensional problems have increasingly drawn attention in gene selection and analysis. To add insult to injury, usually the number of features is greater than number of samples in microarray gene dataset which le... 详细信息
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Identification and preliminary validation of differently expressed genes as candidate biomarkers associated with atherosclerosis
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GENE 2024年 915卷 148410页
作者: Zhou, Liqin Zhou, Liping Chen, Qiliang Chen, Congying Qian, Yuanyuan Lou, Dayong Ma, Huanjie Wang, Suying Zhuji Peoples Hosp Zhejiang Prov Dept Pharm Zhuji 311800 Zhejiang Peoples R China Zhuji Renze Rehabil Hosp Dept Pharm Zhuji 311899 Zhejiang Peoples R China Zhejiang Univ Dept Pharm Sch Med Run Run Shaw Hosp Hangzhou 310018 Zhejiang Peoples R China Shengzhou Chinese Med Hosp Dept Pharm 208 Yiyuan Rd Shengzhou 312400 Zhejiang Peoples R China
Objective: Atherosclerosis (AS) is the primary cause of deadly cardio-cerebro vascular diseases globally. This study aims to explore the key differentially expressed genes (DEGs), potentially serving as predictive bio... 详细信息
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Instigating the Sailfish Optimization Algorithm Based on Opposition-Based Learning to Determine the Salient Features From a High-Dimensional dataset
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INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING 2023年 第5期22卷 1617-1649页
作者: Khaire, Utkarsh Mahadeo Dhanalakshmi, R. Balakrishnan, K. Akila, M. Indian Inst Informat Technol Dharwad Dept Data Sci & Intelligent Syst Dharwad 580009 Karnataka India Indian Inst Informat Technol Tiruchirappalli Dept Comp Sci & Engn Tiruchirappalli 620012 Tamil Nadu India KPR Inst Engn & Technol Dept Comp Sci & Engn Coimbatore 641407 Tamil Nadu India
The aim of this research critique is to propose a hybrid combination of Opposition-Based Learning and Sailfish Optimization strategy to recognize the salient features from a high-dimensional dataset. The Sailfish Opti... 详细信息
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JNK/MAPK pathway regulation by BEX2 gene silencing in alcoholic hepatitis mice: Effects on oxidative stress
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ALCOHOL-CLINICAL AND EXPERIMENTAL RESEARCH 2023年 第10期47卷 1869-1882页
作者: Zhou, Shuai Zhong, Hai Wang, Yong Wang, Xiaoguang Pan, Hongtao Liu, Xiaolin Hu, Lingyu Anhui Med Univ Hosp 2 Dept Gen Surg Hefei Anhui Peoples R China Jiaxing Univ Affiliated Hosp 2 Dept Surg Jiaxing Peoples R China Jiaxing Univ Affiliated Hosp 2 Dept Surg 1518 North Huancheng Rd Jiaxing 314000 Zhejiang Peoples R China
Background: Alcoholic hepatitis (AH) is a severe alcoholic-related liver disease that is a leading cause of morbidity and mortality, for which effective treatments are lacking. Brain-expressed X-linked gene 2 (BEX2) h... 详细信息
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SVAD: Stacked Variational Autoencoder Deep Neural Network-Based Dimensionality Reduction and Classification of Small Sample Size and High Dimensional Data
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SN Computer Science 2024年 第7期5卷 956页
作者: Srivastava, Neha Tayal, Devendra K. Indira Gandhi Delhi Technical University for Women James Church New Church Rd. Opp. St Kashmere Gate New Delhi 110006 India
The “curse of dimensionality” is a major concern in the field of computational biology, especially when there are many fewer samples then to the number of features. Many strategies for dimension reduction have been ... 详细信息
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A novel control factor and Brownian motion-based improved Harris Hawks Optimization for feature selection
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JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 2022年 第7期14卷 8631-8653页
作者: Balakrishnan, K. Dhanalakshmi, R. Khaire, Utkarsh Mahadeo Indian Inst Informat Technol Dept Comp Sci & Engn Tiruchirappalli 620012 Tamil Nadu India Indian Inst Informat Technol Dept Data Sci & Intelligent Syst Dharwad 580009 Karnataka India
The massive growth in data size has prompted proliferation in need for Feature Selection (FS). Hence, FS has become an imperative method for dealing with high-dimensional data. This research critique proposes an enhan... 详细信息
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