ES-ARCNN: Predicting enhancer strength by using data augmentation and residual convolutional neural network

Enhancer prediction in the human genome by probabilistic modelling of the chromatin feature patterns

(2020) Maria Osmala et al.   BMC BIOINFORMATICS

Supervised enhancer prediction with epigenetic pattern recognition and targeted validation

(2020) Anurag Sethi et al.   NATURE METHODS

Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods

(2019) Song-Yao Zhang et al.   PLoS Computational Biology

LPI-BLS: Predicting lncRNA–protein interactions with a broad learning system-based stacked ensemble classifier

(2019) Xiao-Nan Fan et al.   NEUROCOMPUTING

iEnhancer-EL: Identifying enhancers and their strength with ensemble learning approach

(2018) Bin Liu et al.   BIOINFORMATICS

Simple tricks of convolutional neural network architectures improve DNA–protein binding prediction

(2018) Zhen Cao et al.   BIOINFORMATICS

EnhancerPred2.0: predicting enhancers and their strength based on position-specific trinucleotide propensity and electron–ion interaction potential feature selection

(2017) Wenying He et al.   Molecular BioSystems

PEDLA: predicting enhancers with a deep learning-based algorithmic framework

(2016) Feng Liu et al.   Scientific Reports

EnhancerPred: a predictor for discovering enhancers based on the combination and selection of multiple features

(2016) Cangzhi Jia et al.   Scientific Reports

iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudok-tuple nucleotide composition

(2015) Bin Liu et al.   BIOINFORMATICS

Transcriptional enhancers: from properties to genome-wide predictions

(2014) Daria Shlyueva et al.   NATURE REVIEWS GENETICS

Enhancers: five essential questions

(2013) Len A. Pennacchio et al.   NATURE REVIEWS GENETICS

RFECS: A Random-Forest Based Algorithm for Enhancer Identification from Chromatin State

(2013) Nisha Rajagopal et al.   PLoS Computational Biology

Genome-wide enhancer prediction from epigenetic signatures using genetic algorithm-optimized support vector machines

(2012) Michael Fernández et al.   NUCLEIC ACIDS RESEARCH

High-resolution genome-wide in vivo footprinting of diverse transcription factors in human cells

(2010) A. P. Boyle et al.   GENOME RESEARCH

Some remarks on protein attribute prediction and pseudo amino acid composition

(2010) Kuo-Chen Chou   JOURNAL OF THEORETICAL BIOLOGY

Efficient yeast ChIP-Seq using multiplex short-read DNA sequencing

(2009) Philippe Lefrançois et al.   BMC GENOMICS