iEnhancer-ECNN: identifying enhancers and their strength using ensembles of convolutional neural networks
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Title
iEnhancer-ECNN: identifying enhancers and their strength using ensembles of convolutional neural networks
Authors
Keywords
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Journal
BMC GENOMICS
Volume 20, Issue S9, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-12-24
DOI
10.1186/s12864-019-6336-3
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Note: Only part of the references are listed.- A Simple Convolutional Neural Network for Prediction of Enhancer-Promoter Interactions with DNA Sequence Data
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- iEnhancer-EL: Identifying enhancers and their strength with ensemble learning approach
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- Characterization of the enhancer and promoter landscape of inflammatory bowel disease from human colon biopsies
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- In silico identification of enhancers on the basis of a combination of transcription factor binding motif occurrences
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- EnhancerPred: a predictor for discovering enhancers based on the combination and selection of multiple features
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- iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudok-tuple nucleotide composition
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- ChIP-seq accurately predicts tissue-specific activity of enhancers
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