ArticleGenome research2004
Predicting protein complex membership using probabilistic network reliability.
Article in Genome research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed.
- Reliable Route Selection for Wireless Sensor Networks with Connection Failure Uncertainties.Sensors (Basel, Switzerland) · 2021Article
- Protein complexes predictions within protein interaction networks using genetic algorithms.BMC bioinformatics · 2016Article
- Differential connectivity of splicing activators and repressors to the human spliceosome.Genome biology · 2015Article
- FunPred-1: protein function prediction from a protein interaction network using neighborhood analysis.Cellular & molecular biology letters · 2014Article
- Protein-protein interaction detection: methods and analysis.International journal of proteomics · 2014Review
- Fully automated protein complex prediction based on topological similarity and community structure.Proteome science · 2013Article
- A novel link prediction algorithm for reconstructing protein-protein interaction networks by topological similarity.Bioinformatics (Oxford, England) · 2013Article
- Biomine: predicting links between biological entities using network models of heterogeneous databases.BMC bioinformatics · 2012Article
- Chapter 5: Network biology approach to complex diseases.PLoS computational biology · 2012Article
- Predicting direct protein interactions from affinity purification mass spectrometry data.Algorithms for molecular biology : AMB · 2010Article
- Profiling of protein interaction networks of protein complexes using affinity purification and quantitative mass spectrometry.Molecular & cellular proteomics : MCP · 2010Review
- A simple technique for the prediction of interacting proteins reveals a direct Brn-3a-androgen receptor interaction.The Journal of biological chemistry · 2010Article
- How and when should interactome-derived clusters be used to predict functional modules and protein function?Bioinformatics (Oxford, England) · 2009Article
- Spectral affinity in protein networks.BMC systems biology · 2009Article
- RRW: repeated random walks on genome-scale protein networks for local cluster discovery.BMC bioinformatics · 2009Article
- HAPPI: an online database of comprehensive human annotated and predicted protein interactions.BMC genomics · 2009Article
- Biomedical discovery acceleration, with applications to craniofacial development.PLoS computational biology · 2009Article
- Combining multiple positive training sets to generate confidence scores for protein-protein interactions.Bioinformatics (Oxford, England) · 2009Article
- Accurate and scalable techniques for the complex/pathway membership problem in protein networks.Advances in bioinformatics · 2009Article
- Finding friends and enemies in an enemies-only network: a graph diffusion kernel for predicting novel genetic interactions and co-complex membership from yeast genetic interactions.Genome research · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evidence for specific protein-protein interactions is increasingly available from both small- and large-scale studies, and can be viewed as a network. It has previously been noted that errors are frequent among large-scale studies, and that error frequency depends on the large-scale method used. Despite knowledge of the error-prone nature of interaction evidence, edges (connections) in this network are typically viewed as either present or absent. However, use of a probabilistic network that considers quantity and quality of supporting evidence should improve inference derived from protein networks. Here we demonstrate inference of membership in a partially known protein complex by using a probabilistic network model and an algorithm previously used to evaluate reliability in communication networks.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.