M are better than one: an ensemble-based motif finder and its application to regulatory element prediction.
about
LASAGNA: a novel algorithm for transcription factor binding site alignmentPROSPER: an integrated feature-based tool for predicting protease substrate cleavage sites.Searching for transcription factor binding sites in vector spacesIdentification of large disjoint motifs in biological networks.Mechanisms and evolution of control logic in prokaryotic transcriptional regulation.Bioinformatic approaches for predicting substrates of proteases.Computational discovery of soybean promoter cis-regulatory elements for the construction of soybean cyst nematode-inducible synthetic promoters.SOMPNN: an efficient non-parametric model for predicting transmembrane helices.
P2860
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M are better than one: an ensemble-based motif finder and its application to regulatory element prediction.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 17 February 2009
@en
vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
M are better than one: an ense ...... regulatory element prediction.
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M are better than one: an ense ...... regulatory element prediction.
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type
label
M are better than one: an ense ...... regulatory element prediction.
@en
M are better than one: an ense ...... regulatory element prediction.
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prefLabel
M are better than one: an ense ...... regulatory element prediction.
@en
M are better than one: an ense ...... regulatory element prediction.
@nl
P2860
P356
P1433
P1476
M are better than one: an ense ...... regulatory element prediction
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P2093
Elena Zaslavsky
Mona Singh
P2860
P304
P356
10.1093/BIOINFORMATICS/BTP090
P407
P50
P577
2009-02-17T00:00:00Z