Assessing Clusters and Motifs from Gene Expression Data
نویسندگان
چکیده
منابع مشابه
Assessing clusters and motifs from gene expression data.
Large-scale gene expression studies and genomic sequencing projects are providing vast amounts of information that can be used to identify or predict cellular regulatory processes. Genes can be clustered on the basis of the similarity of their expression profiles or function and these clusters are likely to contain genes that are regulated by the same transcription factors. Searches for cis-reg...
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We propose a representation for gene expression data called conserved gene expression motifs or XMOTIFs. A gene's expression level is conserved across a set of samples if the gene is expressed with the same abundance in all the samples. A conserved gene expression motif is a subset of genes that is simultaneously conserved across a subset of samples. We present a computational technique to disc...
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BACKGROUND DNA chips allow simultaneous measurements of genome-wide response of thousands of genes, i.e. system level monitoring of the gene-network activity. Advanced analysis methods have been developed to extract meaningful information from the vast amount of raw gene-expression data obtained from the microarray measurements. These methods usually aimed to distinguish between groups of subje...
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We propose a representation for gene expression data called conserved gene expression motifs or xmotifs. A gene’s expression level is conserved across a set of samples if the gene is expressed with the same abundance in all the samples. A conserved gene expression motif is a subset of genes that is simultaneously conserved across a subset of samples. We present a computational technique to disc...
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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...
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ژورنال
عنوان ژورنال: Genome Research
سال: 2001
ISSN: 1088-9051
DOI: 10.1101/gr.148301