ReviewMethods in cell biology2012
Integrated inference and analysis of regulatory networks from multi-level measurements.
Review in Methods in cell biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Adaptogens in Long-Lasting Brain Fatigue: An Insight from Systems Biology and Network Pharmacology.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Review
- Inferring gene and protein interactions using PubMed citations and consensus Bayesian networks.PloS one · 2017Article
- Systems Biology Approaches for Host-Fungal Interactions: An Expanding Multi-Omics Frontier.Omics : a journal of integrative biology · 2016Review
- TRIM32 modulates pluripotency entry and exit by directly regulating Oct4 stability.Scientific reports · 2015Article
- Regulatory network inferred using expression data of small sample size: application and validation in erythroid system.Bioinformatics (Oxford, England) · 2015Article
- The Cyni framework for network inference in Cytoscape.Bioinformatics (Oxford, England) · 2015Article
- Molecular network analysis enhances understanding of the biology of mental disorders.BioEssays : news and reviews in molecular, cellular and developmental biology · 2014Review
- Network portal: a database for storage, analysis and visualization of biological networks.Nucleic acids research · 2014Article
- Systems-level analysis of innate immunity.Annual review of immunology · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Regulatory and signaling networks coordinate the enormously complex interactions and processes that control cellular processes (such as metabolism and cell division), coordinate response to the environment, and carry out multiple cell decisions (such as development and quorum sensing). Regulatory network inference is the process of inferring these networks, traditionally from microarray data but increasingly incorporating other measurement types such as proteomics, ChIP-seq, metabolomics, and mass cytometry. We discuss existing techniques for network inference. We review in detail our pipeline, which consists of an initial biclustering step, designed to estimate co-regulated groups; a network inference step, designed to select and parameterize likely regulatory models for the control of the co-regulated groups from the biclustering step; and a visualization and analysis step, designed to find and communicate key features of the network. Learning biological networks from even the most complete data sets is challenging; we argue that integrating new data types into the inference pipeline produces networks of increased accuracy, validity, and biological relevance.
Indexed as
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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.