Search Results - subject:"Gene expression data"

Multi-objective optimization for clustering 3-way gene expression data

Dembélé, Doulaye - In: Advances in Data Analysis and Classification 2 (2008) 3, pp. 211-225

Persistent link: https://www.econbiz.de/10005613465

Using Complexity for the Estimation of Bayesian Networks

Salzman, Peter; Almudevar, Anthony - In: Statistical Applications in Genetics and Molecular Biology 5 (2007) 1, pp. 21-21

Statistical inference of graphical models has become an important tool in the reconstruction of biological networks of the type which model, for example, gene regulatory interactions. In particular, the construction of a score-based Bayesian posterior density over the space of models provides an...

Persistent link: https://www.econbiz.de/10005585069

On generalized semi-infinite optimization of genetic networks

Weber, Gerhard-Wilhelm; Tezel, Aysun - In: TOP: An Official Journal of the Spanish Society of … 15 (2007) 1, pp. 65-77

Persistent link: https://www.econbiz.de/10005598340

Reconstructing Gene Regulatory Networks with Bayesian Networks by Combining Expression Data with Multiple Sources of Prior Knowledge

Werhli, Adriano; Husmeier, Dirk - In: Statistical Applications in Genetics and Molecular Biology 6 (2007) 1, pp. 15-15

There have been various attempts to reconstruct gene regulatory networks from microarray expression data in the past. However, owing to the limited amount of independent experimental conditions and noise inherent in the measurements, the results have been rather modest so far. For this reason it...

Persistent link: https://www.econbiz.de/10005752544

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 … prediction of future patients' survival based on their gene expression data. For this, several authors have discussed the use of … the proportional hazards or Cox model after reducing the dimension of the gene expression data. This paper presents a new …

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

Statistical analysis of gene regulatory networks reconstructed from gene expression data of lung cancer

Sun, Lanfang; Jiang, Lu; Li, Menghui; He, Dacheng - In: Physica A: Statistical Mechanics and its Applications 370 (2006) 2, pp. 663-671

Recently, inferring gene regulatory network from large-scale gene expression data has been considered as an important … cancer, a gene regulatory network of lung cancer is reconstructed from gene expression data. In this network, vertices …

Persistent link: https://www.econbiz.de/10010590276

Finding cancer subtypes in microarray data using random projections

Ghosh, Debashis - Berkeley Electronic Press - 2004

One of the benefits of profiling of cancer samples using microarrays is the generation of molecular fingerprints that will define subtypes of disease. Such subgroups have typically been found in microarray data using hierarchical clustering. A major problem in interpretation of the output is...

Persistent link: https://www.econbiz.de/10005579274