Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Bayesian network analysis of signaling networks: a primer.

Science's STKE : signal transduction knowledge environment - 26 Apr 2005

Pe'er Dana

Abstract excerpt

High-throughput proteomic data can be used to reveal the connectivity of signaling networks and the influences between signaling molecules. We present a primer on the use of Bayesian networks for this task. Bayesian networks have been successfully used to derive causal influences among biological...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Bayes Theorem
Share to Causality

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Likelihood Functions

Share to Markov Chains

Share to Models, Biological

Share to Proteomics

Share to Signal Transduction

Source

Identifiers

PMID: 15855409
DOI: 10.1126/stke.2812005pl4

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-15855409-2026-09-02.2. Manifest publication-graph-cohort-2026-09-02.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Bayesian network analysis of signaling networks: a primer.PMID 15855409Read ↗

Causal assessment of gene regulatory network in single-cell transcriptomics data based on Bayesian networksSemantic proximity Read ↗

Simplistic pathways or complex networks?Semantic proximity Read ↗

A review of causal discovery methods for molecular network analysis.Semantic proximity Read ↗

Precise Network Modeling of Systems Genetics Data Using the Bayesian Network Webserver.Semantic proximity Read ↗

Inferring gene transcriptional modulatory relations: a genetical genomics approach.Semantic proximity Read ↗

A novel knowledge-driven systems biology approach for phenotype prediction upon genetic intervention.Semantic proximity Read ↗

A framework using topological pathways for deeper analysis of transcriptome data.Semantic proximity Read ↗

An Optimization-Based Framework for the Transformation of Incomplete Biological Knowledge into a Probabilistic Structure and Its Application to the Utilization of Gene/Protein Signaling Pathways in Discrete Phenotype Classification.Semantic proximity Read ↗

Bayesian Gene Selection Based on Pathway Information and Network-Constrained Regularization.Semantic proximity Read ↗

Designing logical rules to model the response of biomolecular networks with complex interactions: an application to cancer modeling.Semantic proximity Read ↗

Probabilistic logic methods and some applications to biology and medicine.Semantic proximity Read ↗

A route-based pathway analysis framework integrating mutation information and gene expression data.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.