Combining microarrays and biological knowledge for estimating gene networks via Bayesian networks.
about
Biomedical discovery acceleration, with applications to craniofacial developmentRobust data-driven incorporation of prior knowledge into the inference of dynamic regulatory networks.hARACNe: improving the accuracy of regulatory model reverse engineering via higher-order data processing inequality tests.Inference and validation of predictive gene networks from biomedical literature and gene expression data.Estimating large-scale signaling networks through nested effect models with intervention effects from microarray data.Seeded Bayesian Networks: constructing genetic networks from microarray data.A primer on learning in Bayesian networks for computational biology.Inferring cellular networks--a review.Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data.New components of the Dictyostelium PKA pathway revealed by Bayesian analysis of expression data.Constructing non-stationary Dynamic Bayesian Networks with a flexible lag choosing mechanism.A scale-free structure prior for graphical models with applications in functional genomics.Using stochastic causal trees to augment Bayesian networks for modeling eQTL datasets.Comparing the reconstruction of regulatory pathways with distinct Bayesian networks inference methodsA categorical network approach for discovering differentially expressed regulations in cancer.Relationships between probabilistic Boolean networks and dynamic Bayesian networks as models of gene regulatory networks.Gene network inference via structural equation modeling in genetical genomics experiments.A Survey of Statistical Models for Reverse Engineering Gene Regulatory Networks.Reconstruction of biological networks by incorporating prior knowledge into Bayesian network models.An empirical Bayes approach to network recovery using external knowledge.A prior-based integrative framework for functional transcriptional regulatory network inference.Chain graph models to elicit the structure of a Bayesian network.
P2860
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P2860
Combining microarrays and biological knowledge for estimating gene networks via Bayesian networks.
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
2003年论文
@zh
2003年论文
@zh-cn
name
Combining microarrays and biol ...... etworks via Bayesian networks.
@en
type
label
Combining microarrays and biol ...... etworks via Bayesian networks.
@en
prefLabel
Combining microarrays and biol ...... etworks via Bayesian networks.
@en
P2093
P1476
Combining microarrays and biol ...... networks via Bayesian networks
@en
P2093
Kousuke Tashiro
Satoru Kuhara
Satoru Miyano
Seiya Imoto
Takao Goto
Tomoyuki Higuchi
P304
P577
2003-01-01T00:00:00Z