Discriminative motif analysis of high-throughput dataset.
about
New BAR tools for mining expression data and exploring Cis-elements in Arabidopsis thaliana.WSMD: weakly-supervised motif discovery in transcription factor ChIP-seq data.SeAMotE: a method for high-throughput motif discovery in nucleic acid sequences.Identification of Predictive Cis-Regulatory Elements Using a Discriminative Objective Function and a Dynamic Search Space.Sequence- and Structure-Based Analysis of Tissue-Specific Phosphorylation SitesSuper-lncRNAs: Identification of lncRNAs that target super-enhancers via RNA:DNA:DNA triplex formation.RCAS: an RNA centric annotation system for transcriptome-wide regions of interest.Conversion of MyoD to a neurogenic factor: binding site specificity determines lineage.Direct AUC optimization of regulatory motifs.
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P2860
Discriminative motif analysis of high-throughput dataset.
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 25 October 2013
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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
Discriminative motif analysis of high-throughput dataset.
@en
Discriminative motif analysis of high-throughput dataset.
@nl
type
label
Discriminative motif analysis of high-throughput dataset.
@en
Discriminative motif analysis of high-throughput dataset.
@nl
prefLabel
Discriminative motif analysis of high-throughput dataset.
@en
Discriminative motif analysis of high-throughput dataset.
@nl
P2093
P2860
P50
P356
P1433
P1476
Discriminative motif analysis of high-throughput dataset
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P2093
Abraham P Fong
Robert C Gentleman
Stephen J Tapscott
P2860
P304
P356
10.1093/BIOINFORMATICS/BTT615
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P577
2013-10-25T00:00:00Z