Regulatory network inferred using expression data of small sample size: application and validation in erythroid system

No abstract is available for this paper.

• Publication year

  2015

• Venue

  Bioinform.

• Publication date

  2015-08-01

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1093/bioinformatics/btv186PMID 25840044PMCID PMC4514931
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Modeling dynamic functional relationship networks and application to ex vivo human erythroid differentiation

  2014cited by this paper
• Predicting dynamic signaling network response under unseen perturbations

  2014cited by this paper
• Biased, Non-equivalent Gene-Proximal and -Distal Binding Motifs of Orphan Nuclear Receptor TR4 in Primary Human Erythroid Cells

  2014cited by this paper
• Bioinformatics Curriculum Guidelines: Toward a Definition of Core Competencies

  2014cited by this paper
• Developmental transcriptome analysis of human erythropoiesis.

  2014cited by this paper
• Systematic Analysis of Challenge-Driven Improvements in Molecular Prognostic Models for Breast Cancer

  2013cited by this paper
• Lysine-specific demethylase 1 is a therapeutic target for fetal hemoglobin induction

  2013cited by this paper
• Lesion Area Detection Using Source Image Correlation Coefficient for CT Perfusion Imaging

  2013cited by this paper
• An effective framework for reconstructing gene regulatory networks from genetical genomics data

  2013cited by this paper
• Parallel perfusion imaging processing using GPGPU

  2012cited by this paper
• Wisdom of crowds for robust gene network inference

  2012cited by this paper
• IMP: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks

  2012cited by this paper
• Computed tomography perfusion imaging denoising using Gaussian process regression

  2012cited by this paper
• Integrated inference and analysis of regulatory networks from multi-level measurements.

  2012cited by this paper
• Experimental Design for Parameter Estimation of Gene Regulatory Networks

  2012cited by this paper
• Tissue-Specific Functional Networks for Prioritizing Phenotype and Disease Genes

  2012cited by this paper
• Crowdsourcing Network Inference: The DREAM Predictive Signaling Network Challenge

  2011cited by this paper
• Nuclear Receptors TR2 and TR4 Recruit Multiple Epigenetic Transcriptional Corepressors That Associate Specifically with the Embryonic β-Type Globin Promoters in Differentiated Adult Erythroid Cells

  2011cited by this paper
• AnimalTFDB: a comprehensive animal transcription factor database

  2011cited by this paper
• A Parallel Deconvolution Algorithm in Perfusion Imaging

  2011cited by this paper
• Prioritizing candidate disease genes by network-based boosting of genome-wide association data.

  2011cited by this paper
• Inferring Regulatory Networks from Expression Data Using Tree-Based Methods

  2010cited by this paper
• Revealing strengths and weaknesses of methods for gene network inference

  2010cited by this paper
• Integrated functional networks of process, tissue, and developmental stage specific interactions in Arabidopsis thaliana

  2010cited by this paper
• Improved Reconstruction of In Silico Gene Regulatory Networks by Integrating Knockout and Perturbation Data

  2010cited by this paper
• Computational methods for analyzing dynamic regulatory networks.

  2010cited by this paper
• Simultaneous Genome-Wide Inference of Physical, Genetic, Regulatory, and Functional Pathway Components

  2010cited by this paper
• Towards a Rigorous Assessment of Systems Biology Models: The DREAM3 Challenges

  2010influential reference
• Gene Regulatory Networks from Multifactorial Perturbations Using Graphical Lasso: Application to the DREAM4 Challenge

  2010cited by this paper
• TopHat: discovering splice junctions with RNA-Seq

  2009cited by this paper
• Global Prediction of Tissue-Specific Gene Expression and Context-Dependent Gene Networks in Caenorhabditis elegans

  2009cited by this paper
• Exploring the human genome with functional maps.

  2009cited by this paper
• Gene regulatory network inference: Data integration in dynamic models - A review

  2009cited by this paper
• Detailing regulatory networks through large scale data integration

  2009cited by this paper
• Comparative analysis of module-based versus direct methods for reverse-engineering transcriptional regulatory networks

  2009cited by this paper
• Spontaneous mapping of number and space in adults and young children.

  2009cited by this paper
• Survivin, cancer networks and pathway-directed drug discovery

  2008cited by this paper
• A Genomewide Functional Network for the Laboratory Mouse

  2008cited by this paper
• The Sleipnir library for computational functional genomics

  2008cited by this paper
• Drug discovery approaches targeting the PI3K/Akt pathway in cancer

  2008cited by this paper
• A Semi-Supervised Method for Predicting Transcription Factor–Gene Interactions in Escherichia coli

  2008cited by this paper
• SIRENE: supervised inference of regulatory networks

  2008influential reference
• The TR2 and TR4 orphan nuclear receptors repress Gata1 transcription.

  2007cited by this paper
• Large-Scale Mapping and Validation of Escherichia coli Transcriptional Regulation from a Compendium of Expression Profiles

  2007cited by this paper
• A data-driven clustering method for time course gene expression data

  2006cited by this paper
• A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data

  2005influential reference
• Ex vivo generation of fully mature human red blood cells from hematopoietic stem cells

  2005cited by this paper
• Exploiting the PI3K/AKT Pathway for Cancer Drug Discovery

  2005cited by this paper
• Cancer genes and the pathways they control

  2004cited by this paper
• Elucidation of gene interaction networks through time-lagged correlation analysis of transcriptional data.

  2004cited by this paper
• Advances to Bayesian network inference for generating causal networks from observational biological data

  2004cited by this paper
• Hembase: browser and genome portal for hematology and erythroid biology

  2004cited by this paper
• Regulatory network of gene expression in the drought and cold stress responses.

  2003cited by this paper
• Gene Expression Omnibus: NCBI gene expression and hybridization array data repository

  2002cited by this paper
• Reverse engineering gene networks using singular value decomposition and robust regression

  2002cited by this paper
• Dynamic modeling of gene expression data.

  2001cited by this paper
• KEGG: Kyoto Encyclopedia of Genes and Genomes

  2000influential reference
• Gene expression profiling, genetic networks, and cellular states: an integrating concept for tumorigenesis and drug discovery

  1999cited by this paper
• Learning the Structure of Dynamic Probabilistic Networks

  1998cited by this paper
• Sequence and Chromatin Accessibility Data Accurate Inference of Transcription Factor Binding from Dna Material Supplemental Open Access

  year unknowncited by this paper

• Optimal parameter identification of synthetic gene networks using harmony search algorithm

  2019cites this paper
• Gene grouping strategy for network modeling from a small time-series dataset: An illustrative analysis of human organogenesis

  2019cites this paper
• Discovering master regulators in hepatocellular carcinoma: one novel MR, SEC14L2 inhibits cancer cells

  2019cites this paper
• MapReduce Algorithms for Inferring Gene Regulatory Networks from Time-Series Microarray Data Using an Information-Theoretic Approach

  2017cites this paper
• A Time-Delayed Information-Theoretic Approach to the Reverse Engineering of Gene Regulatory Networks Using Apache Spark

  2017cites this paper
• Integrating biclustering techniques with de novo gene regulatory network discovery using RNA-seq from skeletal tissues

  2017cites this paper
• COMPASS: A computational model to predict changes in MMSE scores 24-months after initial assessment of Alzheimer’s disease

  2016cites this paper
• Network-based approaches for analysis of complex biological systems.

  2016cites this paper
• Algorithms for modeling global and context-specific functional relationship networks

  2016cites this paper