标题
Recurrent Neural Network for Predicting Transcription Factor Binding Sites
作者
关键词
-
出版物
Scientific Reports
Volume 8, Issue 1, Pages -
出版商
Springer Nature America, Inc
发表日期
2018-10-09
DOI
10.1038/s41598-018-33321-1
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- iEnhancer-EL: Identifying enhancers and their strength with ensemble learning approach
- (2018) Bin Liu et al. BIOINFORMATICS
- Pupylation sites prediction with ensemble classification model
- (2017) Wenzheng Bao et al. International Journal of Data Mining and Bioinformatics
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Imputation for transcription factor binding predictions based on deep learning
- (2017) Qian Qin et al. PLoS Computational Biology
- Tissue-specific pathway association analysis using genome-wide association study summaries
- (2016) Wenyu Wang et al. BIOINFORMATICS
- gkmSVM: an R package for gapped-kmer SVM
- (2016) Mahmoud Ghandi et al. BIOINFORMATICS
- iRSpot-EL: identify recombination spots with an ensemble learning approach
- (2016) Bin Liu et al. BIOINFORMATICS
- Convolutional neural network architectures for predicting DNA–protein binding
- (2016) Haoyang Zeng et al. BIOINFORMATICS
- The Genetics of Transcription Factor DNA Binding Variation
- (2016) Bart Deplancke et al. CELL
- Predicting Hub Genes Associated with Cervical Cancer through Gene Co-Expression Networks
- (2016) Su-Ping Deng et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- ChIP-PIT: Enhancing the Analysis of ChIP-Seq Data Using Convex-Relaxed Pair-Wise Interaction Tensor Decomposition
- (2016) Lin Zhu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Analysis of computational footprinting methods for DNase sequencing experiments
- (2016) Eduardo G Gusmao et al. NATURE METHODS
- DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences
- (2016) Daniel Quang et al. NUCLEIC ACIDS RESEARCH
- GERV: a statistical method for generative evaluation of regulatory variants for transcription factor binding
- (2015) Haoyang Zeng et al. BIOINFORMATICS
- iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudok-tuple nucleotide composition
- (2015) Bin Liu et al. BIOINFORMATICS
- A Two-Stage Geometric Method for Pruning Unreliable Links in Protein-Protein Networks
- (2015) Lin Zhu et al. IEEE TRANSACTIONS ON NANOBIOSCIENCE
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
- (2015) Babak Alipanahi et al. NATURE BIOTECHNOLOGY
- A method to predict the impact of regulatory variants from DNA sequence
- (2015) Dongwon Lee et al. NATURE GENETICS
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences
- (2015) Bin Liu et al. NUCLEIC ACIDS RESEARCH
- Identification of altered cis-regulatory elements in human disease
- (2015) Anthony Mathelier et al. TRENDS IN GENETICS
- Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics
- (2015) Ehsaneddin Asgari et al. PLoS One
- Cis-regulatory variation: significance in biomedicine and evolution
- (2014) Simon Friedensohn et al. CELL AND TISSUE RESEARCH
- Prediction of Protein-Protein Interactions Based on Protein-Protein Correlation Using Least Squares Regression
- (2014) De-Shuang Huang et al. CURRENT PROTEIN & PEPTIDE SCIENCE
- SFAPS: An R package for structure/function analysis of protein sequences based on informational spectrum method
- (2014) Su-Ping Deng et al. METHODS
- Discovery of directional and nondirectional pioneer transcription factors by modeling DNase profile magnitude and shape
- (2014) Richard I Sherwood et al. NATURE BIOTECHNOLOGY
- Genome-wide analysis of noncoding regulatory mutations in cancer
- (2014) Nils Weinhold et al. NATURE GENETICS
- Increased subtlety of transcription factor binding increases complexity of genome regulation: Fig. 1.
- (2014) Peter H. von Hippel PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Protein−DNA binding in the absence of specific base-pair recognition
- (2014) Ariel Afek et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Enhanced Regulatory Sequence Prediction Using Gapped k-mer Features
- (2014) Mahmoud Ghandi et al. PLoS Computational Biology
- Dynamic trans-Acting Factor Colocalization in Human Cells
- (2013) Dan Xie et al. CELL
- Normalized Feature Vectors: A Novel Alignment-Free Sequence Comparison Method Based on the Numbers of Adjacent Amino Acids
- (2013) De-Shuang Huang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Evaluation of methods for modeling transcription factor sequence specificity
- (2013) Matthew T Weirauch et al. NATURE BIOTECHNOLOGY
- Protein-DNA binding: complexities and multi-protein codes
- (2013) T. Siggers et al. NUCLEIC ACIDS RESEARCH
- JASPAR 2014: an extensively expanded and updated open-access database of transcription factor binding profiles
- (2013) Anthony Mathelier et al. NUCLEIC ACIDS RESEARCH
- Methylation-mediated silencing of the miR-124 genes facilitates pancreatic cancer progression and metastasis by targeting Rac1
- (2013) P Wang et al. ONCOGENE
- t-LSE: A Novel Robust Geometric Approach for Modeling Protein-Protein Interaction Networks
- (2013) Lin Zhu et al. PLoS One
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- (2012) Geoffrey Hinton et al. IEEE SIGNAL PROCESSING MAGAZINE
- A General CPL-AdS Methodology for Fixing Dynamic Parameters in Dual Environments
- (2012) De-Shuang Huang et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Factorbook.org: a Wiki-based database for transcription factor-binding data generated by the ENCODE consortium
- (2012) J. Wang et al. NUCLEIC ACIDS RESEARCH
- Discriminative prediction of mammalian enhancers from DNA sequence
- (2011) D. Lee et al. GENOME RESEARCH
- Molecular Pattern Discovery Based on Penalized Matrix Decomposition
- (2011) Chun-Hou Zheng et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Accurate inference of transcription factor binding from DNA sequence and chromatin accessibility data
- (2010) R. Pique-Regi et al. GENOME RESEARCH
- Mechanisms of transcription factor selectivity
- (2010) Yongping Pan et al. TRENDS IN GENETICS
- Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection
- (2009) Chun-Hou Zheng et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- A Constructive Hybrid Structure Optimization Methodology for Radial Basis Probabilistic Neural Networks
- (2008) De-Shuang Huang et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- A Library of Yeast Transcription Factor Motifs Reveals a Widespread Function for Rsc3 in Targeting Nucleosome Exclusion at Promoters
- (2008) Gwenael Badis et al. MOLECULAR CELL
- Systematic identification of mammalian regulatory motifs' target genes and functions
- (2008) Jason B Warner et al. NATURE METHODS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now