Stability selection for regression-based models of transcription factor-DNA binding specificity
出版年份 2013 全文链接
标题
Stability selection for regression-based models of transcription factor-DNA binding specificity
作者
关键词
-
出版物
BIOINFORMATICS
Volume 29, Issue 13, Pages i117-i125
出版商
Oxford University Press (OUP)
发表日期
2013-06-27
DOI
10.1093/bioinformatics/btt221
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。- DNA-Binding Specificities of Human Transcription Factors
- (2013) Arttu Jolma et al. CELL
- Evaluation of methods for modeling transcription factor sequence specificity
- (2013) Matthew T Weirauch et al. NATURE BIOTECHNOLOGY
- Genomic Regions Flanking E-Box Binding Sites Influence DNA Binding Specificity of bHLH Transcription Factors through DNA Shape
- (2013) Raluca Gordân et al. Cell Reports
- TIGRESS: Trustful Inference of Gene REgulation using Stability Selection
- (2012) Anne-Claire Haury et al. BMC Systems Biology
- Transcriptional Amplification in Tumor Cells with Elevated c-Myc
- (2012) Charles Y. Lin et al. CELL
- Genetic and Epigenetic Determinants of Neurogenesis and Myogenesis
- (2012) Abraham P. Fong et al. DEVELOPMENTAL CELL
- Improved Models for Transcription Factor Binding Site Identification Using Nonindependent Interactions
- (2012) Yue Zhao et al. GENETICS
- The crystal structure of the Sox4 HMG domain–DNA complex suggests a mechanism for positional interdependence in DNA recognition
- (2011) Ralf Jauch et al. BIOCHEMICAL JOURNAL
- Integrated Approaches Reveal Determinants of Genome-wide Binding and Function of the Transcription Factor Pho4
- (2011) Xu Zhou et al. MOLECULAR CELL
- Quantitative analysis demonstrates most transcription factors require only simple models of specificity
- (2011) Yue Zhao et al. NATURE BIOTECHNOLOGY
- A Linear Model for Transcription Factor Binding Affinity Prediction in Protein Binding Microarrays
- (2011) Matti Annala et al. PLoS One
- Quantitative Models of the Mechanisms That Control Genome-Wide Patterns of Transcription Factor Binding during Early Drosophila Development
- (2011) Tommy Kaplan et al. PLoS Genetics
- Curated collection of yeast transcription factor DNA binding specificity data reveals novel structural and gene regulatory insights
- (2011) Raluca Gordân et al. GENOME BIOLOGY
- Origins of Specificity in Protein-DNA Recognition
- (2010) Remo Rohs et al. Annual Review of Biochemistry
- Multiplexed massively parallel SELEX for characterization of human transcription factor binding specificities
- (2010) A. Jolma et al. GENOME RESEARCH
- Accurate inference of transcription factor binding from DNA sequence and chromatin accessibility data
- (2010) R. Pique-Regi et al. GENOME RESEARCH
- Stability selection
- (2010) Nicolai Meinshausen et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- Dinucleotide Weight Matrices for Predicting Transcription Factor Binding Sites: Generalizing the Position Weight Matrix
- (2010) Rahul Siddharthan PLoS One
- High Resolution Models of Transcription Factor-DNA Affinities Improve In Vitro and In Vivo Binding Predictions
- (2010) Phaedra Agius et al. PLoS Computational Biology
- High-resolution DNA-binding specificity analysis of yeast transcription factors
- (2009) C. Zhu et al. GENOME RESEARCH
- Distinguishing direct versus indirect transcription factor-DNA interactions
- (2009) R. Gordan et al. GENOME RESEARCH
- Universal protein-binding microarrays for the comprehensive characterization of the DNA-binding specificities of transcription factors
- (2009) Michael F Berger et al. Nature Protocols
- Optimal feature selection for support vector machines
- (2009) Minh Hoai Nguyen et al. PATTERN RECOGNITION
- Diversity and Complexity in DNA Recognition by Transcription Factors
- (2009) G. Badis et al. SCIENCE
- Inferring Binding Energies from Selected Binding Sites
- (2009) Yue Zhao et al. PLoS Computational Biology
- A Feature-Based Approach to Modeling Protein–DNA Interactions
- (2008) Eilon Sharon et al. PLoS Computational Biology
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