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检索条件"主题词=microarray Data"
770 条 记 录,以下是611-620 订阅
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Identifying synergistic regulation involving c-Myc and sp1 in human tissues
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NUCLEIC ACIDS RESEARCH 2007年 第4期35卷 1098-1107页
作者: Parisi, Fabio Wirapati, Pratyaksha Naef, Felix ISREC Lausanne Switzerland NCCR Mol Oncol Lausanne Switzerland Swiss Inst Bioinformat CH-1015 Lausanne Switzerland Ecole Polytech Fed Lausanne Sch Life Sci CH-1015 Lausanne Switzerland
Combinatorial gene regulation largely contributes to phenotypic versatility in higher eukaryotes. Genome-wide chromatin immuno-precipitation (ChIP) combined with expression profiling can dissect regulatory circuits ar... 详细信息
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From access and integration to mining of secure genomic data sets across the Grid
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FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2007年 第3期23卷 447-456页
作者: Sinnott, Richard O. Univ Glasgow Natl e Sci Ctr Glasgow G12 8QQ Lanark Scotland
The UK Department of Trade and Industry (DTI) funded BRIDGES project (Biomedical Research Informatics Delivered by Grid Enabled Services) has developed a Grid infrastructure to support cardiovascular research. This in... 详细信息
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Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
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COMPUTATIONAL STATISTICS & data ANALYSIS 2007年 第11期51卷 5253-5265页
作者: Alfo, Marco Farcomeni, Alessio Tardella, Luca Univ Roma La Sapienza Dipartimento Stat Probabil & Stat Applicate I-00185 Rome Italy
An important goal of microarray studies is the detection of genes that show significant changes in observed expressions when two or more classes of biological samples such as treatment and control are compared. Using ... 详细信息
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A robust measure of correlation between two genes on a microarray
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BMC BIOINFORMATICS 2007年 第1期8卷 1-13页
作者: Hardin, Johanna Mitani, Aya Hicks, Leanne VanKoten, Brian Pomona Coll Dept Math Claremont CA 91711 USA Pitzer Coll Dept Math Claremont CA 91711 USA Univ Nebraska Dept Stat Lincoln NE 68588 USA Lewis & Clark Coll Dept Math Portland OR 97219 USA
Background: The underlying goal of microarray experiments is to identify gene expression patterns across different experimental conditions. Genes that are contained in a particular pathway or that respond similarly to... 详细信息
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A new framework for identifying differentially expressed genes
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PATTERN RECOGNITION 2007年 第11期40卷 3249-3262页
作者: Li, Jie Tang, Xianglong Zhao, Wei Huang, Jianhua Harbin Inst Technol Dept Comp Sci & Technol Harbin 150001 Peoples R China
microarrays have been widely used to classify cancer samples and discover the biological types, for example tumor versus normal phenotypes in cancer research. One of the challenging scientific tasks in the post-genomi... 详细信息
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Robust filtering for gene expression time series data with variance constraints
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INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS 2007年 第5期84卷 619-633页
作者: Wei, Guoliang Wang, Zidong Shu, Huisheng Fraser, Karl Liu, Xiaohui Brunel Univ Dept Informat Syst & Comp Uxbridge UB8 3PH Middx England Donghua Univ Sch Informat Sci & Technol Shanghai 200051 Peoples R China Donghua Univ Dept Appl Math Shanghai 200051 Peoples R China
In this paper, an uncertain discrete-time stochastic system is employed to represent a model for gene regulatory networks from time series data. A robust variance-constrained filtering problem is investigated for a ge... 详细信息
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Revisiting adverse effects of cross-hybridization in Affymetrix gene expression data: do they matter for correlation analysis?
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BIOLOGY DIRECT 2007年 第1期2卷 1-13页
作者: Klebanov, Lev Chen, Linlin Yakovlev, Andrei Univ Rochester Dept Biostat & Computat Biol Rochester NY 14642 USA Charles Univ Prague Dept Probabil & Stat CZ-18675 Prague Czech Republic
Background.: This work was undertaken in response to a recently published paper by Okoniewski and Miller (BMC Bioinformatics 2006, 7: Article 276). The authors of that paper came to the conclusion that the process of ... 详细信息
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Inferring pairwise regulatory relationships from multiple time series datasets
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BIOINFORMATICS 2007年 第6期23卷 755-763页
作者: Shi, Yanxin Mitchell, Tom Bar-Joseph, Ziv Carnegie Mellon Univ Machine Learning Dept Pittsburgh PA 15213 USA Carnegie Mellon Univ Language Technol Inst Pittsburgh PA 15213 USA Carnegie Mellon Univ Dept Comp Sci Pittsburgh PA 15213 USA Carnegie Mellon Univ Dept Sci Biol Pittsburgh PA 15213 USA
Motivation: Time series expression experiments have emerged as a popular method for studying a wide range of biological systems under a variety of conditions. One advantage of such data is the ability to infer regulat... 详细信息
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The discovery of transcriptional modules by a two-stage matrix decomposition approach
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BIOINFORMATICS 2007年 第4期23卷 473-479页
作者: Li, Huai Sun, Yu Zhan, Ming NIA Bioinformat Unit Branch Res Resources Baltimore MD 21224 USA
Motivation: We address the problem of identifying gene transcriptional modules from gene expression data by proposing a new approach. Genes mostly interact with each other to form transcriptional modules for context-s... 详细信息
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Unsupervised feature selection under perturbations: meeting the challenges of biological data
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BIOINFORMATICS 2007年 第24期23卷 3343-3349页
作者: Varshavsky, Roy Gottlieb, Assaf Horn, David Linial, Michal Hebrew Univ Jerusalem Sch Comp Sci & Engn IL-91904 Jerusalem Israel Tel Aviv Univ Sch Phys & Astron IL-69978 Tel Aviv Israel Hebrew Univ Jerusalem Inst Life Sci Dept Biol Chem IL-91904 Jerusalem Israel
Motivation: Feature selection methods aim to reduce the complexity of data and to uncover the most relevant biological variables. In reality, information in biological datasets is often incomplete as a result of untru... 详细信息
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