Guidelines DOCTORAL PROGRAMME
Hele tekst
GERELATEERDE DOCUMENTEN
Bovendien zou de or geen inhou- delijke bezwaren tegen de wijzi- ging hebben, omdat hij bereid was om zijn bezwaren te laten val- len indien er een financieel gun- stiger
For gene biclustering, remove the data of the genes from the current bicluster. Search for a
Qizheng Sheng, Yves Moreau, Bart De Moor, ‘Biclustering microarray data by Gibbs sampling’, 2003, Bioinformatics, 19, ii196 – ii205. (Impact
[r]
In particular, Gibbs sampling has become a popular alternative to the expectation- maximization (EM) for solving the incomplete-data problem, where the asso- ciated random variables
of Electrical Engineering, Katholieke Universiteit Leuven.. Qizheng
Bayesian models for microarray data analysis and Gibbs sampling 4.1 Basic ideas of Bayesian methods: posterior likelihood * prior 4.2 Applying Bayesian models on microarray
Starting with the clustering of microarray data by adaptive quality-based clustering, it then retrieves the DNA sequences relating to the genes in a cluster in a semiautomated