about
Weak pairwise correlations imply strongly correlated network states in a neural populationMicroarray gene expression profiling and analysis in renal cell carcinomaFinding groups in gene expression dataSample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm.A microarray data-based semi-kinetic method for predicting quantitative dynamics of genetic networks.Regulatory network inferred using expression data of small sample size: application and validation in erythroid systemAn adjustable aperiodic model class of genomic interactions using continuous time Boolean networks (Boolean delay equations)ESTs from Seeds to Assist the Selective Breeding of Jatropha curcas L. for Oil and Active CompoundsModelling in molecular biology: describing transcription regulatory networks at different scalesReconstruction of Escherichia coli transcriptional regulatory networks via regulon-based associations.Inference of gene regulatory networks from genome-wide knockout fitness dataCluster-based network model for time-course gene expression data.Data- and knowledge-based modeling of gene regulatory networks: an update.Nonlinear differential equation model for quantification of transcriptional regulation applied to microarray data of Saccharomyces cerevisiae.Low Dimensionality in Gene Expression Data Enables the Accurate Extraction of Transcriptional Programs from Shallow Sequencing.Transcriptional regulatory network refinement and quantification through kinetic modeling, gene expression microarray data and information theory.Analysis of time-series gene expression data: methods, challenges, and opportunities.Theory and limitations of genetic network inference from microarray data.Kullback-Leibler distance as a measure of the information filtered from multivariate data.Dynamics of cellular level function and regulation derived from murine expression array data.Bayesian detection of periodic mRNA time profiles without use of training examples.Modelling the network of cell cycle transcription factors in the yeast Saccharomyces cerevisiae.Methods for simultaneously identifying coherent local clusters with smooth global patterns in gene expression profiles.Inference of gene regulatory networks using time-series data: a surveyOptimal in silico target gene deletion through nonlinear programming for genetic engineeringTimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach.Modeling genome-wide dynamic regulatory network in mouse lungs with influenza infection using high-dimensional ordinary differential equations.Understanding health and disease with multidimensional single-cell methodsRegulatory network modelling of iron acquisition by a fungal pathogen in contact with epithelial cells.Using dynamic gene module map analysis to identify targets that modulate free fatty acid induced cytotoxicity.Targeting c-Myc-activated genes with a correlation method: detection of global changes in large gene expression network dynamics.Functional characterization of alternate optimal solutions of Escherichia coli's transcriptional and translational machinery.A random-periods model for expression of cell-cycle genes.Sparse Additive Ordinary Differential Equations for Dynamic Gene Regulatory Network Modeling.Reverse engineering gene networks using singular value decomposition and robust regression.Cluster analysis of gene expression dynamicsEffects of resveratrol on gene expression in renal cell carcinoma.Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information.Local wavelet-vaguelette-based functional classification of gene expression data.Regulatory interactions for iron homeostasis in Aspergillus fumigatus inferred by a Systems Biology approach
P2860
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P2860
description
2001 nî lūn-bûn
@nan
2001 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2001 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2001年の論文
@ja
2001年論文
@yue
2001年論文
@zh-hant
2001年論文
@zh-hk
2001年論文
@zh-mo
2001年論文
@zh-tw
2001年论文
@wuu
name
Dynamic modeling of gene expression data.
@ast
Dynamic modeling of gene expression data.
@en
type
label
Dynamic modeling of gene expression data.
@ast
Dynamic modeling of gene expression data.
@en
prefLabel
Dynamic modeling of gene expression data.
@ast
Dynamic modeling of gene expression data.
@en
P2093
P2860
P356
P1476
Dynamic modeling of gene expression data.
@en
P2093
J R Banavar
N S Holter
N V Fedoroff
P2860
P304
P356
10.1073/PNAS.98.4.1693
P407
P577
2001-02-01T00:00:00Z
P5875
P698
P818
cond-mat/0102267