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A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery

Multiple Sequence Alignment and Motif Discovery, known as NP-hard problems, are two fundamental tasks in Bioinformatics. Existing approaches to these two problems are based on either local search methods such as Expectation Maximization (EM), Gibbs Sampling or greedy heuristic methods. In this work,...

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Bibliografiska uppgifter
I publikationen:JMLR Workshop Conf Proc
Huvudupphovsmän: Yen, Ian E. H., Lin, Xin, Zhang, Jiong, Ravikumar, Pradeep, Dhillon, Inderjit S.
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2016
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Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC4993214/
https://ncbi.nlm.nih.gov/pubmed/27559428
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