Our results show that detecting motifs in data sets increases in ease and efficiency when the size of set of sequence increases, a surprising and counter- ...
Abstract. We give a probabilistic algorithm for Consensus Sequence, a NP-complete subproblem of motif recognition, that can be described.
Title, Detecting motifs in a large data set: applying probabilistic insights to motif finding. Publication Type, Conference Proceedings.
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Dec 8, 2018 · Generally, motif analyses of data sets where ranking of DNA or RNA sequences may be explained by measured factors such as gene expression, holds ...
We have presented an approach to analytically detect network motifs in a sample of directed networks with pairwise different vertex labels. The importance of ...
Detecting Motifs in a Large Data Set: Applying Probabilistic Insights to Motif Finding ... The results show that detecting motifs in data sets increases in ...
Jul 23, 2011 · PDF | MEME and many other popular motif finders use the expectation–maximization (EM) algorithm to optimize their parameters.
Dec 1, 2020 · Abstract. Cis-regulatory motif finding is a crucial step in the detection of gene regulatory mechanisms using genomic data.
Many time series contain sequences of frequent patterns, often called motifs. Motif discovery is used to reveal trends, relationships, anomalies, and assist ...
The algorithm receives a group of unaligned biological sequences and the motif length, and for each motif, it produces the motif model with its associated ...