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检索条件"主题词=Microarray Data"
770 条 记 录,以下是391-400 订阅
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A Functional Workbench for Anopheles gambiae Micro Array Analysis
A Functional Workbench for Anopheles gambiae Micro Array Ana...
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European Modelling Symposium
作者: Marion Adebiyi Josiah Oghuan Segun Fatumo Ezekiel Adebiyi Jason Rasgon Department of Computer and Information Sciences Covenant University Department of Entomology The Center for Infectious Disease Dynamics and the Huck Institutes of the Life Sciences The Pennsylvania State University
Insecticide resistance, a character inherited that encompasses alteration in one or more of insect's genes is now a major public health challenge combating world efforts on malaria control strategies. Anopheles ha... 详细信息
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Two Extensions to Multi-label Correlation-Based Feature Selection: a case study in bioinformatics
Two Extensions to Multi-label Correlation-Based Feature Sele...
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IEEE International Conference on Systems, Man, and Cybernetics
作者: Suwimol Jungjit M. Michaelis Alex A. Freitas J. Cinatl School of Computing University of Kent Canterbury CT2 7NF UK School of Biosciences University of Kent Canterbury CT2 7NJ UK Institut fuer Medizinische Virologie Klinikum der Goethe-Universitaet Paul Ehrlich-Str. 40 60596 Frankfurt am Main Germany
This paper proposes two extensions to a Multi-Label Correlation Based Feature Selection Method (ML-CFS): (1) ML-CFS using the absolute value of the correlation coefficient in the equation for evaluating a candidate fe... 详细信息
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Using partially ordered sets to represent and predict true patterns of gene response to treatments
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BMC BIOINFORMATICS 2013年 第17-Sup期14卷 A20-A20页
作者: Vo, Nam S. Vinhthuy Phan Univ Memphis Dept Comp Sci Memphis TN 38152 USA
Doc number: A20
来源: 评论
Active learning for microarray data
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INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 2008年 第1期47卷 85-96页
作者: Vogiatzis, D. Tsapatsoulis, N. Univ Cyprus Dept Comp Sci CY-1678 Nicosia Cyprus Univ Peloponnese Dept Telecommun Sci & Technol Tripoli 22100 Greece
In supervised learning it is assumed that it is straightforward to obtain labeled data. However, in reality labeled data can be scarce or expensive to obtain. Active learning (AL) is a way to deal with the above probl... 详细信息
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Investigation of self-organizing oscillator networks for use in clustering microarray data
IEEE TRANSACTIONS ON NANOBIOSCIENCE
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IEEE TRANSACTIONS ON NANOBIOSCIENCE 2008年 第1期7卷 65-79页
作者: Salem, Sameh A. Jack, Lindsay B. Nandi, Asoke K. Univ Liverpool Dept Elect Engn & Elect Signal Proc & Commun Grp Liverpool L69 3GJ Merseyside England
The self-organizing oscillator network (SOON) is a comparatively new clustering algorithm that does not require the knowledge of the number of clusters. The SOON is distance based, and its clustering behavior is diffe... 详细信息
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Using Generalized Procrustes Analysis (GPA) for normalization of cDNA microarray data
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BMC BIOINFORMATICS 2008年 第1期9卷 1-13页
作者: Xiong, Huiling Zhang, Dapeng Martyniuk, Christopher J. Trudeau, Vance L. Xia, Xuhua Univ Ottawa Dept Biol CAREG Ottawa ON K1N 6N5 Canada
Background: Normalization is essential in dual-labelled microarray data analysis to remove non-biological variations and systematic biases. Many normalization methods have been used to remove such biases within slides... 详细信息
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Constructing the gene regulation-level representation of microarray data for cancer classification
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JOURNAL OF BIOMEDICAL INFORMATICS 2008年 第1期41卷 95-105页
作者: Wong, Hau-San Wang, Hong-Qiang City Univ Hong Kong Dept Comp Sci Kowloon Hong Kong Peoples R China
In this paper, we propose a regulation-level representation for microarray data and optimize it using genetic algorithms (GAs) for cancer classification. Compared with the traditional expression-level features, this r... 详细信息
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COMBAT GA-BASED GENE SELECTION FOR CLASSIFICATION OF microarray data
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BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS 2008年 第6期20卷 345-352页
作者: Chuang, Li-Yeh Yang, Cheng-San Li, Jung-Chike Yang, Cheng-Hong Natl Kaohsiung Univ Appl Sci Dept Elect Engn Kaohsiung 80708 Taiwan I Shou Univ Dept Chem Engn Kaohsiung 80041 Taiwan Natl Cheng Kung Univ Inst Biomed Engn Tainan 70101 Taiwan
microarray data can provide valuable results for a variety of gene expression profile problems and contribute to advances in clinical medicine. The application of microarray data on cancer-type classification has rece... 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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An integrated algorithm for gene selection and classification applied to microarray data of ovarian cancer
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ARTIFICIAL INTELLIGENCE IN MEDICINE 2008年 第1期42卷 81-93页
作者: Lee, Zne-Jung Huafan Univ Dept Informat Management Shihding Township 22301 Taipei County Taiwan
Objective: The type of data in microarray provides unprecedented amount of data. A typical microarray data of ovarian cancer consists of the expressions of tens of thousands of genes on a genomic scale, and there is n... 详细信息
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