iEnhancer-GAN: A Deep Learning Framework in Combination with Word Embedding and Sequence Generative Adversarial Net to Identify Enhancers and Their Strength
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
iEnhancer-GAN: A Deep Learning Framework in Combination with Word Embedding and Sequence Generative Adversarial Net to Identify Enhancers and Their Strength
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
Volume 22, Issue 7, Pages 3589
Publisher
MDPI AG
Online
2021-03-30
DOI
10.3390/ijms22073589
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Interrogation of enhancer function by enhancer-targeting CRISPR epigenetic editing
- (2020) Kailong Li et al. Nature Communications
- miRNAs as Influencers of Cell–Cell Communication in Tumor Microenvironment
- (2020) Ilaria Conti et al. Cells
- GLIS2 promotes colorectal cancer through repressing enhancer activation
- (2020) Jie Yao et al. Oncogenesis
- Variational posterior approximation using stochastic gradient ascent with adaptive stepsize
- (2020) Kart-Leong Lim et al. PATTERN RECOGNITION
- Aberrant enhancer hypomethylation contributes to hepatic carcinogenesis through global transcriptional reprogramming
- (2019) Lei Xiong et al. Nature Communications
- Tissue-specific BMAL1 cistromes reveal that rhythmic transcription is associated with rhythmic enhancer–enhancer interactions
- (2019) Joshua R. Beytebiere et al. GENES & DEVELOPMENT
- iEnhancer-5Step: Identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embedding
- (2019) Nguyen Quoc Khanh Le et al. ANALYTICAL BIOCHEMISTRY
- Perturbing Enhancer Activity in Cancer Therapy
- (2019) Feda H. Hamdan et al. Cancers
- PaleAle 5.0: prediction of protein relative solvent accessibility by deep learning
- (2019) Manaz Kaleel et al. AMINO ACIDS
- Protein–protein interaction site prediction through combining local and global features with deep neural networks
- (2019) Min Zeng et al. BIOINFORMATICS
- Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi Algorithm
- (2019) Marcos Orchard et al. SENSORS
- iEnhancer-ECNN: identifying enhancers and their strength using ensembles of convolutional neural networks
- (2019) Quang H. Nguyen et al. BMC GENOMICS
- iEnhancer-EL: Identifying enhancers and their strength with ensemble learning approach
- (2018) Bin Liu et al. BIOINFORMATICS
- iRO-3wPseKNC: identify DNA replication origins by three-window-based PseKNC
- (2018) Bin Liu et al. BIOINFORMATICS
- Enhancer transcription: what, where, when, and why?
- (2018) Nathaniel D. Tippens et al. GENES & DEVELOPMENT
- Identifying 5-methylcytosine sites in RNA sequence using composite encoding feature into Chou's PseKNC
- (2018) M. Fazli Sabooh et al. JOURNAL OF THEORETICAL BIOLOGY
- NucPosPred: Predicting species-specific genomic nucleosome positioning via four different modes of general PseKNC
- (2018) Cangzhi Jia et al. JOURNAL OF THEORETICAL BIOLOGY
- Dissection of Enhancer Function Using Multiplex CRISPR-based Enhancer Interference in Cell Lines
- (2018) Julia B. Carleton et al. Jove-Journal of Visualized Experiments
- Sequence based prediction of enhancer regions from DNA random walk
- (2018) Anand Pratap Singh et al. Scientific Reports
- Identifying sigma70 promoters with novel pseudo nucleotide composition
- (2017) Hao Lin et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Hotspots of aberrant enhancer activity punctuate the colorectal cancer epigenome
- (2017) Andrea J. Cohen et al. Nature Communications
- Enhancer deregulation in cancer and other diseases
- (2016) Hans-Martin Herz BIOESSAYS
- iEnhancer-PsedeKNC: Identification of enhancers and their subgroups based on Pseudo degenerate kmer nucleotide composition
- (2016) Bin Liu NEUROCOMPUTING
- 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
- In the loop: promoter–enhancer interactions and bioinformatics
- (2015) Antonio Mora et al. BRIEFINGS IN BIOINFORMATICS
- Identification of focally amplified lineage-specific super-enhancers in human epithelial cancers
- (2015) Xiaoyang Zhang et al. NATURE GENETICS
- CD-HIT Suite: a web server for clustering and comparing biological sequences
- (2010) Ying Huang et al. BIOINFORMATICS
- What is the expectation maximization algorithm?
- (2008) Chuong B Do et al. NATURE BIOTECHNOLOGY
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started