EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: subject:"microarray data"
Narrow search

Narrow search

Year of publication
Subject
All
microarray data 6 Microarray data 5 Microarray data analysis 3 multiple testing 3 Empirical Bayes 2 HDLSS 2 Markov chain Monte Carlo 2 analysis of microarray data 2 false discovery rate 2 microarray data analysis 2 sample size calculation 2 Algorithm 1 Algorithmus 1 Bayesian statistics 1 Bivariate extreme 1 Clustering methods 1 CoClust algorithm 1 Colorectal cancer 1 Computational biology 1 Constitutive circuits 1 Copula functions 1 Cross-data-matrix methodology 1 DNA microarray data 1 Directional alternatives 1 FDR 1 FWER 1 False discovery rate 1 GRASP 1 Gene expression 1 Gene regulatory networks 1 Genetic networks 1 Heuristics 1 Heuristik 1 Incomplete paired data 1 Kernel methods 1 Large p small n 1 MCMC computation 1 Maximum Entropy Principle 1 MicroRNA 1 Microarray Data 1
more ... less ...
Online availability
All
Undetermined 19 Free 1
Type of publication
All
Article 20 Book / Working Paper 1
Type of publication (narrower categories)
All
Article in journal 1 Aufsatz in Zeitschrift 1
Language
All
Undetermined 18 English 3
Author
All
Ferreira, José 2 Zwinderman, Aeilko 2 Alfò, Marco 1 Aoshima, Makoto 1 Bansal, Naveen K. 1 Bignami, Margherita 1 Blasi, Francesco Simone 1 Blasi, Monica Francesca 1 Booth, James 1 Boulesteix, Anne-Laure 1 Casella, George 1 Casorelli, Ida 1 Cho, HyungJun 1 Colosimo, Alfredo 1 Conlon, E. M. 1 Cordone, Roberto 1 Dørum, Guro 1 Enkemann, Steven 1 Eskin, Eleazar 1 Fujisawa, Hironori 1 Geman, Donald 1 Giannerini, Simone 1 Giuliani, Alessandro 1 Jang, Woncheol 1 Joo, Yongsung 1 Kang, Jaewoo 1 Kang, Moonsu 1 Kim, Byung Soo 1 Kim, Kyunga 1 Labbe, Aurelie 1 Lakhdar, Yissam 1 Lascio, F. 1 Lee, Jae 1 Lee, Keunbaik 1 Leslie, Christina 1 Liang, Feng 1 Lim, Johan 1 Lovley, D. R. 1 Lulli, Guglielmo 1 Martella, Francesca 1
more ... less ...
Institution
All
Departamento de Estadistica, Universidad Carlos III de Madrid 1
Published in...
All
Statistical Applications in Genetics and Molecular Biology 6 International Journal of Biostatistics 2 Journal of Multivariate Analysis 2 Annals of the Institute of Statistical Mathematics 1 Computational Statistics 1 Computational Statistics & Data Analysis 1 Computers & operations research : and their applications to problems of world concern ; an international journal 1 International Journal of Operations Research and Information Systems (IJORIS) 1 Journal of Applied Statistics 1 Journal of Classification 1 Physica A: Statistical Mechanics and its Applications 1 Statistics & Probability Letters 1 Statistics and Econometrics Working Papers 1 TEST: An Official Journal of the Spanish Society of Statistics and Operations Research 1
more ... less ...
Source
All
RePEc 19 ECONIS (ZBW) 1 Other ZBW resources 1
Showing 1 - 10 of 21
Cover Image
Online Variable Kernel Estimator: Application to Microarray Data Analysis
Lakhdar, Yissam; Sbai, El Hassan - In: International Journal of Operations Research and … 8 (2017) 1, pp. 58-92
In this work, the authors propose a novel method called online variable kernel estimation of the probability density function (pdf). This new online estimator combines the characteristics and properties of two estimators namely nearest neighbors estimator and the Parzen-Rosenblatt estimator....
Persistent link: https://www.econbiz.de/10012046926
Saved in:
Cover Image
Bayesian non-linear matching of pairwise microarray gene expressions
Marín, Juan Miguel; Nieto, Carmen - Departamento de Estadistica, Universidad Carlos III de … - 2008
In this paper, we present a Bayesian non-linear model to analyze matching pairs of microarray expression data. This model generalizes, in terms of neural networks, standard linear matching models. As a practical application, we analyze data of patients with Acute Lymphoblastic Leukemia and we...
Persistent link: https://www.econbiz.de/10008480484
Saved in:
Cover Image
A Bayesian decision theoretic approach to directional multiple hypotheses problems
Bansal, Naveen K.; Miescke, Klaus J. - In: Journal of Multivariate Analysis 120 (2013) C, pp. 205-215
A multiple hypothesis problem with directional alternatives is considered in a decision theoretic framework. Skewness in the alternatives is considered, and it is shown that this skewness permits the Bayes rules to possess certain advantages when one direction of the alternatives is more...
Persistent link: https://www.econbiz.de/10010681790
Saved in:
Cover Image
PCA consistency for the power spiked model in high-dimensional settings
Yata, Kazuyoshi; Aoshima, Makoto - In: Journal of Multivariate Analysis 122 (2013) C, pp. 334-354
In this paper, we propose a general spiked model called the power spiked model in high-dimensional settings. We derive relations among the data dimension, the sample size and the high-dimensional noise structure. We first consider asymptotic properties of the conventional estimator of...
Persistent link: https://www.econbiz.de/10010702809
Saved in:
Cover Image
Bivariate high-level exceedance and the Chen–Stein theorem in genomics multiple hypothesis testing perspectives
Sen, Pranab K.; Kang, Moonsu - In: Statistics & Probability Letters 83 (2013) 7, pp. 1725-1730
In genomic studies, generally the genes are neither independent nor marginally identically distributed, though in microarray studies and DNA/RNA SNP models, often they are assumed to be independent and identically distributed. A version of the Chen–Stein theorem on Poisson approximation for...
Persistent link: https://www.econbiz.de/10010665605
Saved in:
Cover Image
A GRASP metaheuristic for microarray data analysis
Cordone, Roberto; Lulli, Guglielmo - In: Computers & operations research : and their … 40 (2013) 12, pp. 3108-3120
Persistent link: https://www.econbiz.de/10010210618
Saved in:
Cover Image
Permutation test for incomplete paired data with application to cDNA microarray data
Yu, Donghyeon; Lim, Johan; Liang, Feng; Kim, Kyunga; … - In: Computational Statistics & Data Analysis 56 (2012) 3, pp. 510-521
A paired data set is common in microarray experiments, where the data are often incompletely observed for some pairs due to various technical reasons. In microarray paired data sets, it is of main interest to detect differentially expressed genes, which are usually identified by testing the...
Persistent link: https://www.econbiz.de/10010871338
Saved in:
Cover Image
Optimal significance analysis of microarray data in a class of tests whose null statistic can be constructed
Fujisawa, Hironori; Sakaguchi, Takayuki - In: TEST: An Official Journal of the Spanish Society of … 21 (2012) 2, pp. 280-300
Persistent link: https://www.econbiz.de/10010845893
Saved in:
Cover Image
A Copula-Based Algorithm for Discovering Patterns of Dependent Observations
Lascio, F.; Giannerini, Simone - In: Journal of Classification 29 (2012) 1, pp. 50-75
Persistent link: https://www.econbiz.de/10010848613
Saved in:
Cover Image
Rotation Testing in Gene Set Enrichment Analysis for Small Direct Comparison Experiments
Dørum, Guro; Snipen, Lars; Solheim, Margrete; Sæbø, Solve - In: Statistical Applications in Genetics and Molecular Biology 8 (2009) 1, pp. 34-34
Gene Set Enrichment Analysis (GSEA) is a method for analysing gene expression data with a focus on a priori defined gene sets. The permutation test generally used in GSEA for testing the significance of gene set enrichment involves permutation of a phenotype vector and is developed for data from...
Persistent link: https://www.econbiz.de/10005046584
Saved in:
  • 1
  • 2
  • 3
  • Next
  • Last
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...