Cargando…

Bagging Statistical Network Inference from Large-Scale Gene Expression Data

Modern biology and medicine aim at hunting molecular and cellular causes of biological functions and diseases. Gene regulatory networks (GRN) inferred from gene expression data are considered an important aid for this research by providing a map of molecular interactions. Hence, GRNs have the potent...

Descripción completa

Detalles Bibliográficos
Autores principales:	de Matos Simoes, Ricardo, Emmert-Streib, Frank
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2012
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3316596/ https://www.ncbi.nlm.nih.gov/pubmed/22479422 http://dx.doi.org/10.1371/journal.pone.0033624

Ejemplares similares

Influence of Statistical Estimators of Mutual Information and Data Heterogeneity on the Inference of Gene Regulatory Networks
por: de Matos Simoes, Ricardo, et al.
Publicado: (2011)

Urothelial cancer gene regulatory networks inferred from large-scale RNAseq, Bead and Oligo gene expression data
por: Matos Simoes, Ricardo de, et al.
Publicado: (2015)

Statistical Inference and Reverse Engineering of Gene Regulatory Networks from Observational Expression Data
por: Emmert-Streib, Frank, et al.
Publicado: (2012)

Prostate Cancer Gene Regulatory Network Inferred from RNA-Seq Data
por: Moore, Daniel, et al.
Publicado: (2019)

B-cell lymphoma gene regulatory networks: biological consistency among inference methods
por: de Matos Simoes, Ricardo, et al.
Publicado: (2013)

Harnessing the complexity of gene expression data from cancer: from single gene to structural pathway methods
por: Emmert-Streib, Frank, et al.
Publicado: (2012)

Influence of the experimental design of gene expression studies on the inference of gene regulatory networks: environmental factors
por: Emmert-Streib, Frank
Publicado: (2013)

Organizational structure and the periphery of the gene regulatory network in B-cell lymphoma
por: de Matos Simoes, Ricardo, et al.
Publicado: (2012)

Inferring the conservative causal core of gene regulatory networks
por: Altay, Gökmen, et al.
Publicado: (2010)

Untangling statistical and biological models to understand network inference: the need for a genomics network ontology
por: Emmert-Streib, Frank, et al.
Publicado: (2014)

Structural influence of gene networks on their inference: analysis of C3NET
por: Altay, Gökmen, et al.
Publicado: (2011)

Netmes: Assessing Gene Network Inference Algorithms by Network-Based Measures
por: Altay, Gökmen, et al.
Publicado: (2014)

Interfacing cellular networks of S. cerevisiae and E. coli: Connecting dynamic and genetic information
por: Matos Simoes, Ricardo de, et al.
Publicado: (2013)

Quantitative assessment and validation of network inference methods in bioinformatics
por: Haibe-Kains, Benjamin, et al.
Publicado: (2014)

The gene regulatory network for breast cancer: integrated regulatory landscape of cancer hallmarks
por: Emmert-Streib, Frank, et al.
Publicado: (2014)

Exploring Statistical and Population Aspects of Network Complexity
por: Emmert-Streib, Frank, et al.
Publicado: (2012)

Ensuring the statistical soundness of competitive gene set approaches: gene filtering and genome-scale coverage are essential
por: Tripathi, Shailesh, et al.
Publicado: (2013)

Relevance of different prior knowledge sources for inferring gene interaction networks
por: Olsen, Catharina, et al.
Publicado: (2014)

Influence of the Time Scale on the Construction of Financial Networks
por: Emmert-Streib, Frank, et al.
Publicado: (2010)

Multilayer Aggregation with Statistical Validation: Application to Investor Networks
por: Baltakys, Kęstutis, et al.
Publicado: (2018)

Comparing deep belief networks with support vector machines for classifying gene expression data from complex disorders
por: Smolander, Johannes, et al.
Publicado: (2019)

Large-Scale Evaluation of Molecular Descriptors by Means of Clustering
por: Dehmer, Matthias, et al.
Publicado: (2013)

Harnessing naturally randomized transcription to infer regulatory relationships among genes
por: Chen, Lin S, et al.
Publicado: (2007)

Statistic Complexity: Combining Kolmogorov Complexity with an Ensemble Approach
por: Emmert-Streib, Frank
Publicado: (2010)

A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist data
por: Emmert-Streib, Frank, et al.
Publicado: (2012)

Limitations of Gene Duplication Models: Evolution of Modules in Protein Interaction Networks
por: Emmert-Streib, Frank
Publicado: (2012)

Correction: Limitations of Gene Duplication Models: Evolution of Modules in Protein Interaction Networks
por: Emmert-Streib, Frank
Publicado: (2012)

SILGGM: An extensive R package for efficient statistical inference in large-scale gene networks
por: Zhang, Rong, et al.
Publicado: (2018)

Data-Driven Computational Social Network Science: Predictive and Inferential Models for Web-Enabled Scientific Discoveries
por: Emmert-Streib, Frank, et al.
Publicado: (2021)

Collectives of diagnostic biomarkers identify high-risk subpopulations of hematuria patients: exploiting heterogeneity in large-scale biomarker data
por: Emmert-Streib, Frank, et al.
Publicado: (2013)

Gene regulatory networks and their applications: understanding biological and medical problems in terms of networks
por: Emmert-Streib, Frank, et al.
Publicado: (2014)

Pathway Analysis of Expression Data: Deciphering Functional Building Blocks of Complex Diseases
por: Emmert-Streib, Frank, et al.
Publicado: (2011)

Structural Properties and Complexity of a New Network Class: Collatz Step Graphs
por: Emmert-Streib, Frank
Publicado: (2013)

sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters
por: Tripathi, Shailesh, et al.
Publicado: (2017)

Harnessing the biological complexity of Big Data from LINCS gene expression signatures
por: Musa, Aliyu, et al.
Publicado: (2018)

Parametric Construction of Episode Networks from Pseudoperiodic Time Series Based on Mutual Information
por: Emmert-Streib, Frank
Publicado: (2011)

Functional and genetic analysis of the colon cancer network
por: Emmert-Streib, Frank, et al.
Publicado: (2014)

Severe testing with high-dimensional omics data for enhancing biomedical scientific discovery
por: Emmert-Streib, Frank
Publicado: (2022)

Comparative evaluation of gene set analysis approaches for RNA-Seq data
por: Rahmatallah, Yasir, et al.
Publicado: (2014)

Large scale statistical inference of signaling pathways from RNAi and microarray data
por: Froehlich, Holger, et al.
Publicado: (2007)

Cannot write session to /tmp/vufind_sessions/sess_umuo8f3fupa1di6dqqh5edqc65