ArticleGenome biology2006
Ranked prediction of p53 targets using hidden variable dynamic modeling.
Article in Genome biology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
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Who cites it
38 citing papers in PubMed, 130 citations in OpenAlex.
- Inferring TF activities and activity regulators from gene expression data with constraints from TF perturbation data.Bioinformatics (Oxford, England) · 2021Article
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- Prediction of blood test values under different lifestyle scenarios using time-series electronic health record.PloS one · 2020Article
- Quantitative Kinetic Models from Intravital Microscopy: A Case Study Using Hepatic Transport.The journal of physical chemistry. B · 2019Article
- Parametric and non-parametric gradient matching for network inference: a comparison.BMC bioinformatics · 2019Article
- A cold-inducible RNA-binding protein (CIRP)-derived peptide attenuates inflammation and organ injury in septic mice.Scientific reports · 2018Article
- Attenuation of hemorrhage-associated lung injury by adjuvant treatment with C23, an oligopeptide derived from cold-inducible RNA-binding protein.The journal of trauma and acute care surgery · 2017Article
- Targeting Bayes factors with direct-path non-equilibrium thermodynamic integration.Computational statistics · 2017Article
- Approximate Bayesian inference in semi-mechanistic models.Statistics and computing · 2017Article
- Cross-Clustering: A Partial Clustering Algorithm with Automatic Estimation of the Number of Clusters.PloS one · 2016Article
- A genome wide transcriptional model of the complex response to pre-TCR signalling during thymocyte differentiation.Oncotarget · 2015Article
- Genomic data assimilation using a higher moment filtering technique for restoration of gene regulatory networks.BMC systems biology · 2015Article
- Gradient Matching Methods for Computational Inference in Mechanistic Models for Systems Biology: A Review and Comparative Analysis.Frontiers in bioengineering and biotechnology · 2015Review
- Inference of gene regulatory networks incorporating multi-source biological knowledge via a state space model with L1 regularization.PloS one · 2014Article
- Network based elucidation of drug response: from modulators to targets.BMC systems biology · 2013Review
- Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters.BMC bioinformatics · 2013Article
- Identifying targets of multiple co-regulating transcription factors from expression time-series by Bayesian model comparison.BMC systems biology · 2012Article
- Bayesian inference based modelling for gene transcriptional dynamics by integrating multiple source of knowledge.BMC systems biology · 2012Article
- Identification of novel targets for breast cancer by exploring gene switches on a genome scale.BMC genomics · 2011Article
- Statistical inference of the time-varying structure of gene-regulation networks.BMC systems biology · 2010Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 2 countries.
Funding
Abstract
Full exploitation of microarray data requires hidden information that cannot be extracted using current analysis methodologies. We present a new approach, hidden variable dynamic modeling (HVDM), which derives the hidden profile of a transcription factor from time series microarray data, and generates a ranked list of predicted targets. We applied HVDM to the p53 network, validating predictions experimentally using small interfering RNA. HVDM can be applied in many systems biology contexts to predict regulation of gene activity quantitatively.
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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.