Modelling regulatory pathways in E. coli from time series expression profiles.
about
Network-based identification of biomarkers coexpressed with multiple pathwaysNetwork reconstruction using nonparametric additive ODE modelsIntegrating external biological knowledge in the construction of regulatory networks from time-series expression data.Reverse engineering: a key component of systems biology to unravel global abiotic stress cross-talk.Inference of dynamic networks using time-course data.Computational strategies for analyzing data in gene expression microarray experiments.Reconstructing genetic networks from time ordered gene expression data using Bayesian method with global search algorithm.Mining genetic epidemiology data with Bayesian networks I: Bayesian networks and example application (plasma apoE levels).Unravelling the functional interaction structure of a cellular network from temporal slope information of experimental data.Utilizing evolutionary information and gene expression data for estimating gene networks with bayesian network models.In search of functional association from time-series microarray data based on the change trend and level of gene expression.Applying dynamic Bayesian networks to perturbed gene expression data.Cluster-based network model for time-course gene expression data.Integration of omics data: how well does it work for bacteria?Increasing the power to detect causal associations by combining genotypic and expression data in segregating populations.Integrating large-scale functional genomic data to dissect the complexity of yeast regulatory networksBayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks.Inferring cellular networks--a review.Applying intelligent computing techniques to modeling biological networks from expression dataDynamics of uptake and metabolism of small molecules in cellular response systemsReconstructing generalized logical networks of transcriptional regulation in mouse brain from temporal gene expression dataIRIS: a method for reverse engineering of regulatory relations in gene networksInformatics approaches for identifying biologic relationships in time-series data.Inference of gene regulatory networks using time-series data: a surveyReverse engineering a gene network using an asynchronous parallel evolution strategy.Toward the dynamic interactome: it's about time.Inferring cell cycle feedback regulation from gene expression data.SPEX2: automated concise extraction of spatial gene expression patterns from Fly embryo ISH images.TEMPI: probabilistic modeling time-evolving differential PPI networks with multiPle information.Discovering graphical Granger causality using the truncating lasso penalty.Discrete dynamical system modelling for gene regulatory networks of 5-hydroxymethylfurfural tolerance for ethanologenic yeastUsing consensus bayesian network to model the reactive oxygen species regulatory pathway.Inferring regulatory networks by combining perturbation screens and steady state gene expression profiles.A novel procedure for statistical inference and verification of gene regulatory subnetwork.KELLER: estimating time-varying interactions between genes.Advances in systems biology are enhancing our understanding of disease and moving us closer to novel disease treatments.Network Medicine: New Paradigm in the -Omics Era.Combining microarrays and biological knowledge for estimating gene networks via bayesian networks.Grammatical Immune System Evolution for reverse engineering nonlinear dynamic Bayesian models.MODELING DEPENDENT GENE EXPRESSION
P2860
Q28397059-F06ADC17-70F0-446E-8BA3-D867EAF2AFE2Q28537817-CC73206E-7B6F-4413-A441-6E2EF7F0FF53Q30557880-83CCF2A4-C8A4-427C-AAED-B3FDBF52505BQ30584792-8F6EF1DC-8AB4-4857-9152-F3F9FAD6E795Q30630970-C2A75EE6-1E0B-4BDC-8DA8-04D010045ACCQ30950304-94FE1D73-279C-4522-B663-4B1D78124057Q30957841-D2AF5ABB-AAF6-4933-8352-29AB56E2316BQ30990575-39E3400B-8536-4599-9B48-C926E4BB340EQ30996723-6B760D70-B9FF-4DB6-9FB6-5F3CEBC4BA3DQ31027460-77764BD8-4D16-4381-BFB8-108719180ABFQ31032352-C2994EFC-8189-4B31-8FB9-E806574467E8Q31039764-CF007E15-5D37-4FC5-8D48-F4BEF083CF47Q31061321-10F64B6B-8B86-4A9B-931E-43527FD84440Q31066785-08C2040A-192F-4C4E-8DF8-EF8AD83986ACQ31109293-EC3705FA-EB38-41F8-A16C-A062179C2AA6Q31159122-7844A632-1E5F-4627-9B30-C61B618B51D0Q33287812-FDB76C88-38A0-461D-97C2-E67CAEA81E0DQ33300802-64017F4C-EEA2-463D-B1F0-B6BA4684D4E8Q33381437-B20F6D90-7197-43EA-A74D-2C324D897803Q33418613-1414F85E-D574-4EFC-B547-EA83E729E68CQ33419876-0EFAB227-F086-45A8-B945-663C585CDD7CQ33520536-F1C852C5-09DD-4722-9CDD-B9F822FC4105Q33521946-924C11C0-635C-4BF4-A24D-225F89F47179Q33535230-EB53835B-8C35-4A19-8DD2-F5B8BEE4EFE1Q33536154-66E8DA44-3F5D-413C-A796-2802A13851A6Q33605065-7A10C877-46A1-4EDE-9385-95A20EED31FCQ33817671-4DDCA5DE-D741-485E-9EDD-0D016B08F6CDQ33896164-7D8A10A8-4F3C-45F2-B251-380F2752B270Q34103174-F79A1B47-84EB-45C7-BBDB-52C16BE63FE0Q34110488-6F3A2EEE-C0D8-44A3-BB27-D68C9944A90DQ34159339-93FDF01F-DE8D-4BB2-9EFE-4417ADE8CCADQ34607120-794A6348-4712-4DF3-AB81-1886F7B13553Q35105811-59D4B5AD-9F19-4D3A-9643-C4D192A45E2CQ35624716-458156BF-B670-450B-A6BE-03126E7BC707Q37206305-E5A74901-6463-4A95-96D7-5382C7A47684Q37442659-7DD1661D-6539-4A4C-800D-186F9B0A294EQ38258734-9BEF12EA-985B-4964-8CB7-B8E81739A5F7Q38338536-D0029069-71E1-40EE-B4DE-D3FD38E62580Q38393128-CC53BA93-88C9-4A3D-BDF3-2AFA26ED7980Q38803187-5F7CD058-A47A-4C80-9794-A411F3F0582D
P2860
Modelling regulatory pathways in E. coli from time series expression profiles.
description
2002 nî lūn-bûn
@nan
2002年の論文
@ja
2002年学术文章
@wuu
2002年学术文章
@zh
2002年学术文章
@zh-cn
2002年学术文章
@zh-hans
2002年学术文章
@zh-my
2002年学术文章
@zh-sg
2002年學術文章
@yue
2002年學術文章
@zh-hant
name
Modelling regulatory pathways in E. coli from time series expression profiles.
@en
Modelling regulatory pathways in E. coli from time series expression profiles.
@nl
type
label
Modelling regulatory pathways in E. coli from time series expression profiles.
@en
Modelling regulatory pathways in E. coli from time series expression profiles.
@nl
prefLabel
Modelling regulatory pathways in E. coli from time series expression profiles.
@en
Modelling regulatory pathways in E. coli from time series expression profiles.
@nl
P2093
P356
P1433
P1476
Modelling regulatory pathways in E. coli from time series expression profiles.
@en
P2093
David Page
Irene M Ong
Jeremy D Glasner
P304
P356
10.1093/BIOINFORMATICS/18.SUPPL_1.S241
P407
P478
18 Suppl 1
P577
2002-01-01T00:00:00Z