ENNET: inferring large gene regulatory networks from expression data using gradient boosting
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Title
ENNET: inferring large gene regulatory networks from expression data using gradient boosting
Authors
Keywords
Gene regulatory networks, Network inference, Ensemble learning, Boosting
Journal
BMC Systems Biology
Volume 7, Issue 1, Pages 106
Publisher
Springer Nature
Online
2013-10-22
DOI
10.1186/1752-0509-7-106
References
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Related references
Note: Only part of the references are listed.- OKVAR-Boost: a novel boosting algorithm to infer nonlinear dynamics and interactions in gene regulatory networks
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- Robust data-driven incorporation of prior knowledge into the inference of dynamic regulatory networks
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- NARROMI: a noise and redundancy reduction technique improves accuracy of gene regulatory network inference
- (2012) Xiujun Zhang et al. BIOINFORMATICS
- Context-specific transcriptional regulatory network inference from global gene expression maps using double two-way t-tests
- (2012) Jianlong Qi et al. BIOINFORMATICS
- Inferring gene regulatory networks by ANOVA
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- TIGRESS: Trustful Inference of Gene REgulation using Stability Selection
- (2012) Anne-Claire Haury et al. BMC Systems Biology
- GeneNetWeaver: in silico benchmark generation and performance profiling of network inference methods
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- Inferring the conservative causal core of gene regulatory networks
- (2010) Gökmen Altay et al. BMC Systems Biology
- Improved Reconstruction of In Silico Gene Regulatory Networks by Integrating Knockout and Perturbation Data
- (2010) Kevin Y. Yip et al. PLoS One
- Towards a Rigorous Assessment of Systems Biology Models: The DREAM3 Challenges
- (2010) Robert J. Prill et al. PLoS One
- Inferring Regulatory Networks from Expression Data Using Tree-Based Methods
- (2010) Vân Anh Huynh-Thu et al. PLoS One
- Revealing strengths and weaknesses of methods for gene network inference
- (2010) D. Marbach et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- A Gene Network Simulator to Assess Reverse Engineering Algorithms
- (2009) Barbara Di Camillo et al. Annals of the New York Academy of Sciences
- Benchmarking regulatory network reconstruction with GRENDEL
- (2009) B. C. Haynes et al. BIOINFORMATICS
- GeNGe: systematic generation of gene regulatory networks
- (2009) Hendrik Hache et al. BIOINFORMATICS
- Generating Realistic In Silico Gene Networks for Performance Assessment of Reverse Engineering Methods
- (2009) Daniel Marbach et al. JOURNAL OF COMPUTATIONAL BIOLOGY
- A system for generating transcription regulatory networks with combinatorial control of transcription
- (2008) Sushmita Roy et al. BIOINFORMATICS
- minet: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information
- (2008) Patrick E Meyer et al. BMC BIOINFORMATICS
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