Modeling and Analysis of Gene Expression Time-Series Based on Co-Expression

International Journal of Neural Systems - Singapore
doi 10.1142/s0129065705000268
Full Text
Abstract

Available in full text

Date
Authors
Publisher

World Scientific Pub Co Pte Lt

Related search

Interpolation Based Consensus Clustering for Gene Expression Time Series

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2015English

A General Co-Expression Network-Based Approach to Gene Expression Analysis: Comparison and Applications

BMC Systems Biology
Molecular BiologyApplied MathematicsStructural BiologySimulationComputer Science ApplicationsModeling
2010English

Figure 2: Weighted Gene Co-Expression Network Analysis.

English

PCR-based Analysis of Genotype and Gene Expression.

SEIBUTSU BUTSURI KAGAKU
1996English

A Novel Mutual Information-Based Boolean Network Inference Method From Time-Series Gene Expression Data

PLoS ONE
Multidisciplinary
2017English

Co-Expression Network Analysis of Down's Syndrome Based on Microarray Data

Experimental and Therapeutic Medicine
MedicineCancer ResearchImmunologyMicrobiology
2016English

Modeling Gene Networks inSaccharomyces cerevisiaeBased on Gene Expression Profiles

Computational and Mathematical Methods in Medicine
GeneticsMolecular BiologyBiochemistryApplied MathematicsMicrobiology SimulationImmunologyMedicineModeling
2015English

Pathogenesis Analysis of Pituitary Adenoma Based on Gene Expression Profiling

Oncology Letters
Cancer ResearchOncology
2014English

Meta-Analysis of Differential Gene Co-Expression: Application to Lupus

2014English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy