Progress and challenges in bioinformatics approaches for enhancer identification.

Progress and challenges in bioinformatics approaches for enhancer identification.

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http://www.wikidata.org/entity/Q38658633
Taking promoters out of enhancers in sequence based predictions of tissue-specific mammalian enhancersAccurate Promoter and Enhancer Identification in 127 ENCODE and Roadmap Epigenomics Cell Types and Tissues by GenoSTAN.eRFSVM: a hybrid classifier to predict enhancers-integrating random forests with support vector machines.Improved regulatory element prediction based on tissue-specific local epigenomic signatures.Prioritizing single-nucleotide polymorphisms and variants associated with clinical mastitis.Discriminative identification of transcriptional responses of promoters and enhancers after stimulusFunctional Variants Identified Efficiently through an Integrated Transcriptome and Epigenome Analysis.Mammalian genomic regulatory regions predicted by utilizing human genomics, transcriptomics, and epigenetics data.Sequence based prediction of enhancer regions from DNA random walk
P2860

Progress and challenges in bioinformatics approaches for enhancer identification.

Item
http://www.wikidata.org/entity/Q38658633
description
2015 nî lūn-bûn
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2015年の論文
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2015年学术文章
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Progress and challenges in bioinformatics approaches for enhancer identification.
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Progress and challenges in bioinformatics approaches for enhancer identification.
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Progress and challenges in bioinformatics approaches for enhancer identification.
@en
P1433
P1476
P2860
P304
P31
P356
P433
P478
P50
P577
P5875
P698
P921
P932
P356
P1433
P1476
Progress and challenges in bioinformatics approaches for enhancer identification.
@en
P2860
P304
P31
P356
P433
P478
P50
P577
P5875
P698
P921
P932