Seed-Based Biclustering of Gene Expression Data
نویسندگان
چکیده
منابع مشابه
Seed-Based Biclustering of Gene Expression Data
BACKGROUND Accumulated biological research outcomes show that biological functions do not depend on individual genes, but on complex gene networks. Microarray data are widely used to cluster genes according to their expression levels across experimental conditions. However, functionally related genes generally do not show coherent expression across all conditions since any given cellular proces...
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 کاملCoBi: Pattern Based Co-Regulated Biclustering of Gene Expression Data
Co-regulation is a common phenomenon in gene expression. Finding positively and negatively co-regulated gene clusters from gene expression data is a real need. Existing techniques based on global similarity are unable to detect true upand down-regulated gene clusters. This paper presents an expression pattern based biclustering technique, CoBi, for grouping both positively and negatively regula...
متن کاملBiclustering of Gene Expression Data Based on Local Nearness
Résumé. L’analyse des données d’expression de génes dans les fragments d’ADN est un outil important utilisé dans la recherche genomique dont les objectifs principaux s’étendent de l’étude du caractére fonctionnel des génes spécifiques et leur participation dans les processus biologiques à la reconstruction de conditions des maladies et leur pronostique. Les données d’expression des génes sont a...
متن کاملEnhanced Biclustering for Gene Expression Data
Microarray technology is a powerful method for monitoring the expression level of thousands of genes in parallel. Using this technology, the expression levels of genes are measured. Microarray data is represented in N × M matrix. Each row indicates genes and each column indicates condition. In Gene Expression data, standard clustering algorithms are called as global clustering. In global cluste...
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: PLoS ONE
سال: 2012
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0042431