Computational methods for discovering gene networks from expression data.
about
Network Inference and Biological DynamicsNetwork reconstruction using nonparametric additive ODE modelsRepresentation of anatomy in online atlases and databases: a survey and collection of patterns for interface designClustering of High Throughput Gene Expression DataLearning transcriptional regulatory relationships using sparse graphical modelsDREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression dataGene regulation, modulation, and their applications in gene expression data analysisENNET: inferring large gene regulatory networks from expression data using gradient boostingReverse Engineering of Genome-wide Gene Regulatory Networks from Gene Expression DataMicroarray Data Processing Techniques for Genome-Scale Network Inference from Large Public Repositories.Inferring the gene network underlying the branching of tomato inflorescence.Construction of the influenza A virus infection-induced cell-specific inflammatory regulatory network based on mutual information and optimizationInferring the conservative causal core of gene regulatory networks.Inferring regulatory networks from expression data using tree-based methods.Artificial neural network inference (ANNI): a study on gene-gene interaction for biomarkers in childhood sarcomas.Learning transcriptional regulation on a genome scale: a theoretical analysis based on gene expression data.Inflammatory gene regulatory networks in amnion cells following cytokine stimulation: translational systems approach to modeling human parturition.Expectations, validity, and reality in gene expression profiling.Designing phenotyping studies for genetically engineered miceDynamic gene network reconstruction from gene expression data in mice after influenza A (H1N1) infection.Network analysis of oyster transcriptome revealed a cascade of cellular responses during recovery after heat shock.Inferring robust gene networks from expression data by a sensitivity-based incremental evolution method.A regulatory network modeled from wild-type gene expression data guides functional predictions in Caenorhabditis elegans developmentNetwork inference using steady-state data and Goldbeter-Koshland kinetics. [corrected]Reverse engineering gene regulatory networks: coupling an optimization algorithm with a parameter identification techniqueConstructing higher-order miRNA-mRNA interaction networks in prostate cancer via hypergraph-based learning.Metabolic and co-expression network-based analyses associated with nitrate response in rice.Network representations of immune system complexity.The inferred cardiogenic gene regulatory network in the mammalian heart.A parallel algorithm for reverse engineering of biological networks.Gene Regulatory Network Inferences Using a Maximum-Relevance and Maximum-Significance Strategy.Gene regulatory network inference using PLS-based methods.Interrogating the topological robustness of gene regulatory circuits by randomization.New Method for Joint Network Analysis Reveals Common and Different Coexpression Patterns among Genes and Proteins in Breast CancerEstimation of Gene Regulatory NetworksAn overview of bioinformatics methods for modeling biological pathways in yeast.Designing a parallel evolutionary algorithm for inferring gene networks on the cloud computing environment.A review of modeling techniques for genetic regulatory networks.Gene regulatory networks and their applications: understanding biological and medical problems in terms of networks.Identifying time-delayed gene regulatory networks via an evolvable hierarchical recurrent neural network.
P2860
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P2860
Computational methods for discovering gene networks from expression data.
description
2009 nî lūn-bûn
@nan
2009 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Computational methods for discovering gene networks from expression data.
@ast
Computational methods for discovering gene networks from expression data.
@en
type
label
Computational methods for discovering gene networks from expression data.
@ast
Computational methods for discovering gene networks from expression data.
@en
prefLabel
Computational methods for discovering gene networks from expression data.
@ast
Computational methods for discovering gene networks from expression data.
@en
P356
P1476
Computational methods for discovering gene networks from expression data.
@en
P2093
Wei-Po Lee
Wen-Shyong Tzou
P304
P356
10.1093/BIB/BBP028
P577
2009-07-01T00:00:00Z