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检索条件"主题词=microarray Data"
770 条 记 录,以下是461-470 订阅
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Modeling nonlinearity in dilution design microarray data
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BIOINFORMATICS 2007年 第11期23卷 1339-1347页
作者: Zheng, Xiuwen Huang, Hung-Chung Li, Wenyuan Liu, Peng Li, Quan-Zhen Liu, Ying Univ Texas Dept Math Sci Richardson TX 75083 USA Univ Texas Dept Comp Sci Richardson TX 75083 USA Univ Texas Dept Mol & Cell Biol Richardson TX 75083 USA Iowa State Univ Dept Stat Ames IA 50011 USA Univ Texas Med Ctr Microarray Core Facil Dallas TX 75390 USA
Motivation: Dilution design (Mixed tissue RNA) has been utilized by some researchers to evaluate and assess the performance of multiple microarray platforms. Current microarray data analysis approaches assume that the... 详细信息
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How high is the level of technical noise in microarray data?
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BIOLOGY DIRECT 2007年 第1期2卷 1-9页
作者: Klebanov, Lev Yakovlev, Andrei Charles Univ Prague Dept Probabil & Stat CZ-18675 Prague 8 Czech Republic Univ Rochester Dept Biostat & Computat Biol Rochester NY 14642 USA
Background: microarray gene expression data are commonly perceived as being extremely noisy because of many imperfections inherent in the current technology. A recent study conducted by the microarray Quality Control ... 详细信息
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A Quasi-linear Approach for microarray Missing Value Imputation
A Quasi-linear Approach for Microarray Missing Value Imputat...
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18th International Conference on Neural Information Processing (ICONIP)
作者: Cheng, Yu Wang, Lan Hu, Jinglu Waseda Univ Grad Sch Informat Prod & Syst Wakamatsu Ku Hibikino 2-7 Kitakyushu Fukuoka Japan
Missing value imputation for microarray data is important for gene expression analysis algorithms, such as clustering, classification and network design. A number of algorithms have been proposed to solve this problem... 详细信息
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Filtering genes to improve sensitivity in oligonucleotide microarray data analysis
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NUCLEIC ACIDS RESEARCH 2007年 第16期35卷 e102-e102页
作者: Calza, Stefano Raffelsberger, Wolfgang Ploner, Alexander Sahel, Jose Leveillard, Thierry Pawitan, Yudi Karolinska Inst Dept Med Epidemiol & Biostat Stockholm Sweden Univ Brescia Dept Biomed Sci & Biotechnol Sect Med Stat & Bimetry I-25121 Brescia Italy IGBMC Lab Bioinformat & Genom Integrat Strasbourg France Univ Paris 06 Fac Med Lab Physiopathol Cellulaire & Mol Paris France
Many recent microarrays hold an enormous number of probe sets, thus raising many practical and theoretical problems in controlling the false discovery rate (FDR). Biologically, it is likely that most probe sets are as... 详细信息
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Multi-objective Evolutionary Algorithm for Biclustering in microarrays data
Multi-objective Evolutionary Algorithm for Biclustering in M...
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IEEE Congress on Evolutionary Computation (CEC)
作者: Seridi, Khedidja Jourdan, Laetitia Talbi, El-Ghazali INRIA Lille Nord Europe LIFL CNRS F-59650 Villeneuve Dascq France
microarrays are a powerful tool in studying genes expressions under several conditions. The obtained data need to be analyzed using data mining methods. Biclustering is a data mining method which consists in simultane... 详细信息
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GO for integration of expression data
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In Silico Biology 2011年 第1-2期11卷 11-17页
作者: Dotan-Cohen, Dikla Moonshine, Dana Natan, Moshe Shemer-Avni, Yonat Melkman, Avraham A. Department of Computer Science Ben-Gurion University Be'er-Sheva 84105 Israel Department of Virology and Molecular Development Soroka University Medical Center Ben-Gurion University Be'er-Sheva Israel
The low reproducibility of differential expression of individual genes in microarray experiments has led to the suggestion that experiments be analyzed in terms of gene characteristics, such as GO categories or pathwa... 详细信息
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A NEW APPROACH FOR MERGING GENE EXPRESSION dataSETS
A NEW APPROACH FOR MERGING GENE EXPRESSION DATASETS
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IEEE Statistical Signal Processing Workshop (SSP)
作者: Roubaud, Marie-Christine Torresani, Bruno Univ Aix Marseille 1 Lab Anal Topol & Probabilites CMI F-13453 Marseille 13 France
We propose a new approach for merging gene expression data originating from independent microarray experiments. The proposed approach is based upon a model assuming dataset-independent gene expression distribution, an... 详细信息
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Quality assessment of gene selection in microarray data
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OPTIMIZATION METHODS & SOFTWARE 2007年 第1期22卷 145-154页
作者: Park, C. H. Jeon, M. Pardalos, P. Park, H. Chungnam Natl Univ Dept Comp Sci & Engn Taejon 305764 South Korea Gwangju Inst Sci & Technol Sch Informat & Mechatron Kwangju 500712 South Korea Univ Florida Dept Ind & Syst Engn Gainesville FL 32611 USA Georgia Inst Technol Coll Comp Atlanta GA 30332 USA
In microarray data, gene selection can make data analysis efficient and biological interpretations of the selected genes can be very useful. However, microarray data have typically several thousands of genes but only ... 详细信息
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Quality assessment of gene selection in microarray data
Quality assessment of gene selection in microarray data
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Conference on Systems Analysis, data Mining and Optimization in Biomedicine
作者: Park, C. H. Jeon, M. Pardalos, P. Park, H. Chungnam Natl Univ Dept Comp Sci & Engn Taejon 305764 South Korea Gwangju Inst Sci & Technol Sch Informat & Mechatron Kwangju 500712 South Korea Univ Florida Dept Ind & Syst Engn Gainesville FL 32611 USA Georgia Inst Technol Coll Comp Atlanta GA 30332 USA
In microarray data, gene selection can make data analysis efficient and biological interpretations of the selected genes can be very useful. However, microarray data have typically several thousands of genes but only ... 详细信息
来源: 评论
RefGenes: identification of reliable and condition specific reference genes for RT-qPCR data normalization
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BMC GENOMICS 2011年 第1期12卷 156-156页
作者: Hruz, Tomas Wyss, Markus Docquier, Mylene Pfaffl, Michael W. Masanetz, Sabine Borghi, Lorenzo Verbrugghe, Phebe Kalaydjieva, Luba Bleuler, Stefan Laule, Oliver Descombes, Patrick Gruissem, Wilhelm Zimmermann, Philip ETH Dept Biol CH-8092 Zurich Switzerland ETH Inst Theoret Comp Sci CH-8092 Zurich Switzerland Univ Geneva NCCR Frontiers Genet CH-1211 Geneva 4 Switzerland TUM D-85354 Freising Weihenstephan Germany NEBION AG CH-8048 Zurich Switzerland UWA Ctr Med Res Western Australian Inst Med Res Perth WA Australia
Background: RT-qPCR is a sensitive and increasingly used method for gene expression quantification. To normalize RT-qPCR measurements between samples, most laboratories use endogenous reference genes as internal contr... 详细信息
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