An empirical Bayesian method for estimating biological networks from temporal microarray data.
about
A glance at the applications of Singular Spectrum Analysis in gene expression dataHow to Predict Molecular Interactions between Species?A Review of Feature Selection and Feature Extraction Methods Applied on Microarray DataDynamic probabilistic threshold networks to infer signaling pathways from time-course perturbation data.Pathway and network approaches for identification of cancer signature markers from omics data.Decoding Cellular Dynamics in Epidermal Growth Factor Signaling Using a New Pathway-Based Integration Approach for Proteomics and Transcriptomics Data.Data- and knowledge-based modeling of gene regulatory networks: an update.Expectation propagation for large scale Bayesian inference of non-linear molecular networks from perturbation data.Dynamic deterministic effects propagation networks: learning signalling pathways from longitudinal protein array data.Novel application of multi-stimuli network inference to synovial fibroblasts of rheumatoid arthritis patientsGene regulatory network reconstruction using Bayesian networks, the Dantzig Selector, the Lasso and their meta-analysis.LEARNING LOCAL DIRECTED ACYCLIC GRAPHS BASED ON MULTIVARIATE TIME SERIES DATA.Contribution of mammary epithelial cells to the immune response during early stages of a bacterial infection to Staphylococcus aureus.Using a large-scale knowledge database on reactions and regulations to propose key upstream regulators of various sets of molecules participating in cell metabolism.Fast Bayesian inference for gene regulatory networks using ScanBMA.Inferring slowly-changing dynamic gene-regulatory networks.pwOmics: an R package for pathway-based integration of time-series omics data using public database knowledge.Bayesian inference of signaling network topology in a cancer cell line.Moving H5N1 studies into the era of systems biology.Identifying time-delayed gene regulatory networks via an evolvable hierarchical recurrent neural network.Predicting gene regulatory networks by combining spatial and temporal gene expression data in Arabidopsis root stem cells.Prophetic Granger Causality to infer gene regulatory networks.
P2860
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P2860
An empirical Bayesian method for estimating biological networks from temporal microarray data.
description
2010 nî lūn-bûn
@nan
2010 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
An empirical Bayesian method f ...... from temporal microarray data.
@ast
An empirical Bayesian method f ...... from temporal microarray data.
@en
An empirical Bayesian method f ...... from temporal microarray data.
@nl
type
label
An empirical Bayesian method f ...... from temporal microarray data.
@ast
An empirical Bayesian method f ...... from temporal microarray data.
@en
An empirical Bayesian method f ...... from temporal microarray data.
@nl
prefLabel
An empirical Bayesian method f ...... from temporal microarray data.
@ast
An empirical Bayesian method f ...... from temporal microarray data.
@en
An empirical Bayesian method f ...... from temporal microarray data.
@nl
P2093
P356
P1476
An empirical Bayesian method f ...... from temporal microarray data.
@en
P2093
Andrea Rau
Florence Jaffrézic
Jean-Louis Foulley
Rebecca W Doerge
P304
P356
10.2202/1544-6115.1513
P577
2010-01-15T00:00:00Z