Search Results - subject:"Microarray gene expression"

Asymmetric type II compound Laplace distribution and its application to microarray gene expression

Punathumparambath, Bindu; Kulathinal, Sangita; George, … - In: Computational Statistics & Data Analysis 56 (2012) 6, pp. 1396-1404

, and log-normal distributions to five microarray gene expression datasets and compare them. …

Persistent link: https://www.econbiz.de/10010574460

Modelling and Assessing Differential Gene Expression Using the Alpha Stable Distribution

Salas-Gonzalez, Diego; Kuruoglu, Ercan; Ruiz, Diego - In: International Journal of Biostatistics 5 (2009) 1, pp. 1120-1120

After normalization, the distribution of gene expressions for very different organisms have a similar shape, usually exhibit heavier tails than a Gaussian distribution, and have a certain degree of asymmetry. Therefore, this distribution has been modeled in the literature using different...

Persistent link: https://www.econbiz.de/10005046667

Cox Survival Analysis of Microarray Gene Expression Data Using Correlation Principal Component Regression

Zhao, Qiang; Sun, Jianguo - In: Statistical Applications in Genetics and Molecular Biology 6 (2007) 1, pp. 16-16

Statistical analysis of microarray gene expression data has recently attracted a great deal of attention. One problem … approach to conduct the Cox survival analysis of microarray gene expression data with the focus on models' predictive ability …

Persistent link: https://www.econbiz.de/10005752574

Regulatory Motif Finding by Logic Regression

Keles, Sunduz; Laan, Mark van der; Vulpe, Chris - Berkeley Electronic Press - 2004

specific interactions using microarray gene expression data. We devise a hybrid approach called LogicMotif composed of a TFBS … from a large number of genes in the availability of microarray gene expression data. MFURE provides an alternative method …

Persistent link: https://www.econbiz.de/10005584915