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Game Theory applied to gene expression analysis
Moretti, Stefano - Université Paris-Dauphine (Paris IX) - 2009
analysis of gene expression data. Nowadays, microarray technology is available for taking “pictures” of gene expressions …
Persistent link: https://www.econbiz.de/10011166427
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Game Theory applied to gene expression analysis.
Moretti, Stefano - Université Paris-Dauphine - 2009
analysis of gene expression data. Nowadays, microarray technology is available for taking “pictures” of gene expressions …
Persistent link: https://www.econbiz.de/10008799435
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Qualitative assessment of cDNA microarray gene expression data using detrended fluctuation analysis
Nagarajan, Radhakrishnan; Upreti, Meenakshi; Govindan, R.B. - In: Physica A: Statistical Mechanics and its Applications 373 (2007) C, pp. 503-510
A number of microarray studies assume gene expression data to be independent of one another. In this report, we provide … evidence of correlation in cDNA microarray gene expression data using classical power spectral analysis and the sophisticated … assessment of microarray gene expression data prior to inferring differential gene expression. …
Persistent link: https://www.econbiz.de/10010591106
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Testing unilateral versus bilateral normal contamination
Charnigo, Richard; Fan, Qian; Bittel, Douglas; Dai, Hongying - In: Statistics & Probability Letters 83 (2013) 1, pp. 163-167
This letter proposes modeling a large collection of test statistics, such as may arise in microarray data analysis …
Persistent link: https://www.econbiz.de/10010593929
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Statistical Significance Threshold Criteria For Analysis of Microarray Gene Expression Data
Cheng, Cheng; Pounds, Stanley; Boyett, James; Pei, Deqing; … - In: Statistical Applications in Genetics and Molecular Biology 3 (2007) 1, pp. 36-36
The methodological advancement in microarray data analysis on the basis of false discovery rate (FDR) control, such as …
Persistent link: https://www.econbiz.de/10005752555
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The class of microarray games and the relevance index for genes
Moretti, Stefano; Patrone, Fioravante; Bonassi, Stefano - In: TOP: An Official Journal of the Spanish Society of … 15 (2007) 2, pp. 256-280
Persistent link: https://www.econbiz.de/10005598376
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Orthology-Based Multilevel Modeling of Differentially Expressed Mouse and Human Gene Pairs
Ogorek, Benjamin; Stefanski, Leonard - In: Statistical Applications in Genetics and Molecular Biology 8 (2009) 1, pp. 2-2
There is great interest in finding human genes expressed through pharmaceutical intervention, thus opening a genomic window into benefit and side-effect profiles of a drug. Human insight gained from FDA-required animal experiments has historically been limited, but in the case of gene expression...
Persistent link: https://www.econbiz.de/10005585054
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Calculating the Statistical Significance of Changes in Pathway Activity From Gene Expression Data
Jörg Rahnenführer; Domingues, Francisco; … - In: Statistical Applications in Genetics and Molecular Biology 3 (2007) 1, pp. 16-16
findings from microarray experiments.Recently introduced methods test if members of predefined gene sets are enriched in a list … of top-ranked genes in a microarray study. We improve this approach by defining scores that depend on all members of the …
Persistent link: https://www.econbiz.de/10005585090
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Nonparametric methods for analyzing replication origins in genomewide data
Ghosh, Debashis - Berkeley Electronic Press - 2004
Due to the advent of high-throughput genomic technology, it has become possible to globally monitor cellular activities on a genomewide basis. With these new methods, scientists can begin to address important biological questions. One such question involves the identification of replication...
Persistent link: https://www.econbiz.de/10005246062
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Visualisation of Gene Expression Data â the GE-biplot, the Chip-plot and the Gene-plot
Pittelkow, Yvonne; Wilson, Susan - In: Statistical Applications in Genetics and Molecular Biology 2 (2007) 1, pp. 6-6
Visualisation methods for exploring microarray data are particularly important for gaining insight into data from gene …. Further, good visualisation techniques are useful for outlier detection in microarray data and for aiding biological … display of microarray data as both the genes and the chips can be simultaneously plotted. In this paper we describe several …
Persistent link: https://www.econbiz.de/10005046577