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检索条件"主题词=Microarray Data"
771 条 记 录,以下是81-90 订阅
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Gene selection and sample classification on microarray data based on adaptive genetic algorithm/k-nearest neighbor method
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EXPERT SYSTEMS WITH APPLICATIONS 2011年 第5期38卷 4661-4667页
作者: Lee, Chien-Pang Lin, Wen-Shin Chen, Yuh-Min Kuo, Bo-Jein Natl Chung Hsing Univ Dept Agron Div Biometry Taichung 40227 Taiwan China Med Univ Sch Nursing Taichung 40402 Taiwan
Recently, microarray technology has widely used on the study of gene expression in cancer diagnosis. The main distinguishing feature of microarray technology is that can measure thousands of genes at the same time. In... 详细信息
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Ensemble component selection for improving ICA based microarray data prediction models
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PATTERN RECOGNITION 2009年 第7期42卷 1274-1283页
作者: Liu, Kun-Hong Li, Bo Zhang, Jun Du, Ji-Xiang Xiamen Univ Sch Software Xiamen 361005 Fujian Peoples R China Wuhan Univ Sci & Techol Sch Comp Sci Technol Wuhan 430081 Hubei Peoples R China Anhui Univ Sch Elect Sci & Technol Hefei Anhui Peoples R China Huaqiao Univ Dept Comp Sci & Technol Quanzhou 362021 Fujian Peoples R China
Independent component analysis (ICA) has been widely used to tackle the microarray dataset classification problem, but there still exists an unsolved problem that the independent component (IC) sets may not be reprodu... 详细信息
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Missing value estimation of microarray data using Sim-GAN
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KNOWLEDGE AND INFORMATION SYSTEMS 2022年 第10期64卷 2661-2687页
作者: Pati, Soumen Kumar Gupta, Manan Kumar Shai, Rinita Banerjee, Ayan Ghosh, Arijit Maulana Abul Kalam Azad Univ Technol Dept Bioinformat Haringhata 741249 WB India Calcutta Univ Behala Coll Dept Math Kolkata 700060 WB India Jalpaiguri Govt Engn Coll Dept Comp Sci & Engn Jalpaiguri 735102 WB India Calcutta Inst Engn & Management Dept Elect & Commun Engn Kolkata 700040 WB India
microarray data analysis needs utmost care as it plays a significant role in cancer study. Due to the excessive complexity of the data extraction process, it loses some relevant information (missing values) which lead... 详细信息
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Hybridization of Moth flame optimization algorithm and quantum computing for gene selection in microarray data
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JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 2021年 第2期12卷 2731-2750页
作者: Dabba, Ali Tari, Abdelkamel Meftali, Samy Mohamed Boudiaf Univ Fac Math & Comp Sci Comp Sci Dept Msila Algeria Abderrahmane Mira Univ Fac Sci Comp Sci Dept Bejaia Algeria Med Comp Lab LIMED Bejaia Algeria Univ Lille Lille France Res Ctr Comp Sci Signal & Automat Control Lille C Lille France
Ever-increasing data in various fields like Bioinformatics field, which has led to the need to find a way to reduce the data dimensionality. Gene selection problem has a large number of genes (relevant, redundant or n... 详细信息
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Sequential local least squares imputation estimating missing value of microarray data
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COMPUTERS IN BIOLOGY AND MEDICINE 2008年 第10期38卷 1112-1120页
作者: Zhang, Xiaobai Song, Xiaofeng Wang, Huinan Zhan, Huanping Nanjing Univ Aeronaut & Astronaut Dept Biomed Engn Nanjing 210016 Peoples R China
Missing values in microarray data can significantly affect subsequent analysis, thus it is important to estimate these missing values accurately. In this paper, a sequential local least squares imputation (SLLSimpute)... 详细信息
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Feature Selection with Fluid Mechanics Inspired Particle Swarm Optimization for microarray data
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Journal of Beijing Institute of Technology 2017年 第4期26卷 517-524页
作者: Shengsheng Wang Ruyi Dong College of Computer Science and Technology Jilin UniversityChangchun 130012China Jilin Vocational College of Industry and Technology JilinJilin 132013China
Deoxyribonucleic acid( DNA) microarray gene expression data has been widely utilized in the field of functional genomics,since it is helpful to study cancer,cells,tissues,organisms *** the sample sizes are relativel... 详细信息
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GEPAS, a web-based tool for microarray data analysis and interpretation
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NUCLEIC ACIDS RESEARCH 2008年 第Web Server issue期36卷 W308-W314页
作者: Tarraga, Joaquin Medina, Ignacio Carbonell, Jose Huerta-Cepas, Jaime Minguez, Pablo Alloza, Eva Al-Shahrour, Fatima Vegas-Azcarate, Susana Goetz, Stefan Escobar, Pablo Garcia-Garcia, Francisco Conesa, Ana Montaner, David Dopazo, Joaquin CIPF Bioinformat Dept E-46013 Valencia Spain CIPF INB Funct Genom Node E-46013 Valencia Spain CIPF Ctr Biomed Res Rare Dis CIBERER E-46013 Valencia Spain Univ Carlos III Madrid Dept Stat E-28903 Getafe Spain
Gene Expression Profile Analysis Suite (GEPAS) is one of the most complete and extensively used web-based packages for microarray data analysis. During its more than 5 years of activity it has continuously been update... 详细信息
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Identification of differentially expressed genes in microarray data in a principal component space
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SPRINGERPLUS 2013年 第1期2卷 1页
作者: Ospina, Luis Lopez-Kleine, Liliana Univ Nacl Colombia Dept Estadist Bogota Colombia
microarray experiments are often conducted in order to compare gene expression between two conditions. Tests to detected mean differential expression of genes between conditions are conducted applying correction for m... 详细信息
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A comparison of regularization methods applied to the linear discriminant function with high-dimensional microarray data
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JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 2013年 第3期83卷 581-596页
作者: Ramey, John A. Young, Phil D. Pacific NW Natl Lab Richland WA 99352 USA Baylor Univ Dept Stat Sci Waco TX 76798 USA
Classification of gene expression microarray data is important in the diagnosis of diseases such as cancer, but often the analysis of microarray data presents difficult challenges because the gene expression dimension... 详细信息
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Improving Clustering of MicroRNA microarray data by Incorporating Functional Similarity
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CURRENT BIOINFORMATICS 2018年 第1期13卷 34-41页
作者: Yang, Yang Wu, Zhichen Kong, Wei Shanghai Jiao Tong Univ Dept Comp Sci & Engn 800 Dong Chuan Rd Shanghai 200240 Peoples R China Key Lab Shanghai Educ Commiss Intelligent Interac Shanghai 200240 Peoples R China Shanghai Maritime Univ Dept Comp Sci & Engn 1550 Haigang Ave Shanghai Peoples R China Shanghai Jiao Tong Univ Minist Educ Shanghai Ctr Syst Biomed Key Lab Syst Biomed Shanghai 200240 Peoples R China
Background: MicroRNAs (miRNAs) are short non-coding RNAs that serve as key regulators at post-transcriptional level in many important biological processes. In recent years, miRNA expression profiles have been largely ... 详细信息
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