منابع مشابه
Biclustering of time-lagged gene expression data using real number
Analysis of gene expression data can help to find the time-lagged co-regulation of gene cluster. However, existing method just solve the problem under the condition when the data is discrete number. In this paper, we propose efficient algorithm to indentify time-lagged co-regulated gene cluster based on real number.
متن کاملIdentifying Time-Lagged Gene Clusters on Gene Expression Data
Motivation: Analysis of gene expression data can provide insights into the time-lagged co-regulations of genes/gene clusters. However, existing methods such as Event Method and Edge Detection Method are inefficient as they only compare two genes each time. More importantly, they lose some important information due to their scoring criterion. In this paper, we propose an efficient algorithm to i...
متن کاملBiclustering of gene expression data
Biclustering is an important problem that arises in diverse applications, including the analysis of gene expression and drug interaction data. A large number of clustering approaches have been proposed for gene expression data obtained from microarray experiments. However, the results from the application of standard clustering methods to genes are limited. This limitation is imposed by the exi...
متن کاملBiclustering of Gene Expression Data using a Two - Phase Method
Biclustering is a very useful data mining technique which identifies coherent patterns from microarray gene expression data. A bicluster of a gene expression dataset is a subset of genes which exhibit similar expression patterns along a subset of conditions. Biclustering is a powerful analytical tool for the biologist and has generated considerable interest over the past few decades. Many biclu...
متن کاملAnalysis of Gene Expression Data Using Biclustering Algorithms
One of the main research areas of bioinformatics is functional genomics; which focuses on the interactions and functions of each gene and its products (mRNA, protein) through the whole genome (the entire genetics sequences encoded in the DNA and responsible for the hereditary information). In order to identify the functions of certain gene, we should able to capture the gene expressions which d...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Biomedical Science and Engineering
سال: 2010
ISSN: 1937-6871,1937-688X
DOI: 10.4236/jbise.2010.32029