Inference of Gene Interaction Networks Using Conserved Subsequential Patterns From Multiple Time Course Gene Expression Datasets

BMC Genomics - United Kingdom
doi 10.1186/1471-2164-16-s12-s4
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

dynGENIE3: Dynamical GENIE3 for the Inference of Gene Networks From Time Series Expression Data

Scientific Reports
Multidisciplinary
2018English

Improved Inference of Gene Regulatory Networks Through Integrated Bayesian Clustering and Dynamic Modeling of Time-Course Expression Data

PLoS ONE
Multidisciplinary
2013English

Consensus and Meta-Analysis Regulatory Networks for Combining Multiple Microarray Gene Expression Datasets

Journal of Biomedical Informatics
Computer Science ApplicationsHealth Informatics
2008English

Identifying Cyclic Genes in Time-Course Gene Expression Studies Using Proc Traj

Turkiye Klinikleri Journal of Biostatistics
2015English

Correction: Learning Gene Networks Under SNP Perturbations Using eQTL Datasets

PLoS Computational Biology
Molecular NeuroscienceEvolutionEcologyGeneticsBehaviorMolecular BiologySystematicsSimulationCellularComputational TheoryMathematicsModeling
2014English

Inference of Combinatorial Boolean Rules of Synergistic Gene Sets From Cancer Microarray Datasets

Bioinformatics
StatisticsProbabilityMolecular BiologyBiochemistryComputational TheoryComputer Science ApplicationsMathematicsComputational Mathematics
2010English

Extracting Biologically Significant Patterns From Short Time Series Gene Expression Data

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2009English

Figure 2: Global Gene Expression Patterns Over Time.

English

Reconstruction of Gene Co-Expression Network From Microarray Data Using Local Expression Patterns

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2014English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy