about
Postgenomics: Proteomics and Bioinformatics in Cancer ResearchTowards reconstruction of gene networks from expression data by supervised learningGene interaction network suggests dioxin induces a significant linkage between aryl hydrocarbon receptor and retinoic acid receptor betaIntegration of 'omics' data in aging research: from biomarkers to systems biologyEstimation of Ordinary Differential Equation Parameters Using Constrained Local Polynomial RegressionCurrent approaches to gene regulatory network modellingModelling in molecular biology: describing transcription regulatory networks at different scalesIdentification of transcription factor's targets using tissue-specific transcriptomic data in Arabidopsis thalianaBoolean networks using the chi-square test for inferring large-scale gene regulatory networks.Inference of gene regulatory subnetworks from time course gene expression dataInference of gene regulatory networks from genome-wide knockout fitness dataA crowd-sourcing approach for the construction of species-specific cell signaling networks.Dynamic modeling of gene expression data.Big data analysis using modern statistical and machine learning methods in medicine.Dynamic probabilistic threshold networks to infer signaling pathways from time-course perturbation data.Reverse Engineering of Genome-wide Gene Regulatory Networks from Gene Expression DataParameter Estimation for Gene Regulatory Networks from Microarray Data: Cold Shock Response in Saccharomyces cerevisiae.Constructing biological pathways by a two-step counting approach.A model-based optimization framework for the inference of regulatory interactions using time-course DNA microarray expression data.Probabilistic inference of transcription factor binding from multiple data sources.A novel mutual information-based Boolean network inference method from time-series gene expression data.Seeded Bayesian Networks: constructing genetic networks from microarray data.Correlation analysis reveals the emergence of coherence in the gene expression dynamics following system perturbation.Mining and state-space modeling and verification of sub-networks from large-scale biomolecular networks.Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks.Dynamical pathway analysis.Rank-based edge reconstruction for scale-free genetic regulatory networksTranscription network construction for large-scale microarray datasets using a high-performance computing approachConstructing disease-specific gene networks using pair-wise relevance metric: application to colon cancer identifies interleukin 8, desmin and enolase 1 as the central elements.A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data.Reverse engineering module networks by PSO-RNN hybrid modelingReconstruct gene regulatory network using slice pattern modelA fast and efficient gene-network reconstruction method from multiple over-expression experimentsReconstructing nonlinear dynamic models of gene regulation using stochastic sampling.Inference of gene regulatory networks using time-series data: a surveyCharacteristics of transcriptional activity in nonlinear dynamics of genetic regulatory networks.Novel methods to identify biologically relevant genes for leukemia and prostate cancer from gene expression profiles.Modeling genome-wide dynamic regulatory network in mouse lungs with influenza infection using high-dimensional ordinary differential equations.A novel gene network inference algorithm using predictive minimum description length approachTime lagged information theoretic approaches to the reverse engineering of gene regulatory networks
P2860
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P2860
description
1999 nî lūn-bûn
@nan
1999 թուականին հրատարակուած գիտական յօդուած
@hyw
1999 թվականին հրատարակված գիտական հոդված
@hy
1999年の論文
@ja
1999年論文
@yue
1999年論文
@zh-hant
1999年論文
@zh-hk
1999年論文
@zh-mo
1999年論文
@zh-tw
1999年论文
@wuu
name
Modeling gene expression with differential equations
@ast
Modeling gene expression with differential equations
@en
Modeling gene expression with differential equations
@nl
type
label
Modeling gene expression with differential equations
@ast
Modeling gene expression with differential equations
@en
Modeling gene expression with differential equations
@nl
prefLabel
Modeling gene expression with differential equations
@ast
Modeling gene expression with differential equations
@en
Modeling gene expression with differential equations
@nl
P2093
P1476
Modeling gene expression with differential equations
@en
P2093
P407
P577
1999-01-01T00:00:00Z