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MOPAC: Motif Finding by Preprocessing and Agglomerative Clustering from Microarrays

R. GANESH, DEBORAH A. SIEGELE, THOMAS R. IOERGER
2002 Biocomputing 2003  
Therefore, we propose a new algorithm for finding such motifs through stages of pre-processing, denoising, agglomerative clustering and consensus checking.  ...  The gene expression data in our experiments comes from DNA Microarray analysis of the bacterium E. coli in response to recovery from nutrient starvation.  ...  MotifSampler finds as many motifs as we want with a fixed length and gives the consensus too. The motifs identified by MOPAC were unique.  ... 
doi:10.1142/9789812776303_0005 fatcat:cubgs45tdvhspdr4qu5zir4em4

MOPAC: motif finding by preprocessing and agglomerative clustering from microarrays

R Ganesh, Deborah A Siegele, Thomas R Ioerger
2003 Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing  
Therefore, we propose a new algorithm for finding such motifs through stages of pre-processing, denoising, agglomerative clustering and consensus checking.  ...  The gene expression data in our experiments comes from DNA Microarray analysis of the bacterium E. coli in response to recovery from nutrient starvation.  ...  MotifSampler finds as many motifs as we want with a fixed length and gives the consensus too. The motifs identified by MOPAC were unique.  ... 
pmid:12603016 fatcat:fgvxzhhhovhipdjtfm5rntox74

The 18th European Symposium on Quantitative Structure–Activity Relationships

Anna Tsantili-Kakoulidou, Dimitris K Agrafiotis
2011 Expert Opinion on Drug Discovery  
Acknowledgement: I.P. and M.W. gratefully acknowledge the generous support by the Alexander von Humboldt Foundation, Germany and the financial support from the National Science Fund of Bulgaria (grant  ...  We acknowledge the financial supports from the INSERM institute, the University Paris Diderot and the National Science Fund of Bulgaria (grants No. DTK02/58 and No. RNF01/0110).  ...  A structural clustering procedure is applied as a preprocessing step, before a (local) model is learned for each relevant cluster.  ... 
doi:10.1517/17460441.2011.560604 pmid:22646021 fatcat:tb4bhvtnpzahxm4xba7iw4afuy