Ranked prediction of p53 targets using hidden variable dynamic modeling. - Test2 - elhamkhani - TriplyDB

Ranked prediction of p53 targets using hidden variable dynamic modeling.

Ranked prediction of p53 targets using hidden variable dynamic modeling.

http://www.wikidata.org/entity/Q35012892

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Gradient Matching Methods for Computational Inference in Mechanistic Models for Systems Biology: A Review and Comparative Analysis Cross-Clustering: A Partial Clustering Algorithm with Automatic Estimation of the Number of Clusters Inference of gene regulatory networks incorporating multi-source biological knowledge via a state space model with L1 regularization Correction of scaling mismatches in oligonucleotide microarray data.Genomic data assimilation using a higher moment filtering technique for restoration of gene regulatory networks.Fitting ordinary differential equations to short time course data.Bayesian model-based inference of transcription factor activity Comparisons of robustness and sensitivity between cancer and normal cells by microarray data Gaussian process regression bootstrapping: exploring the effects of uncertainty in time course data A dynamic network of transcription in LPS-treated human subjects.Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53 An integrated machine learning approach for predicting DosR-regulated genes in Mycobacterium tuberculosis.Model-based method for transcription factor target identification with limited data.Major role for mRNA stability in shaping the kinetics of gene induction.Computational inference and analysis of genetic regulatory networks via a supervised combinatorial-optimization pattern.Statistical inference of the time-varying structure of gene-regulation networks.Identification of novel targets for breast cancer by exploring gene switches on a genome scale.Bayesian inference based modelling for gene transcriptional dynamics by integrating multiple source of knowledge Analysing microarray data in drug discovery using systems biology.Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters.Network based elucidation of drug response: from modulators to targets.Sequence analysis of p53 response-elements suggests multiple binding modes of the p53 tetramer to DNA targets Direct targets of the TRP63 transcription factor revealed by a combination of gene expression profiling and reverse engineering Oscillations in the immune system.Response of heterogeneous ribonuclear proteins (hnRNP) to ionising radiation and their involvement in DNA damage repair A genome wide transcriptional model of the complex response to pre-TCR signalling during thymocyte differentiation.Seed-based systematic discovery of specific transcription factor target genes.Using temporal correlation in factor analysis for reconstructing transcription factor activities.Reconstructing transcription factor activities in hierarchical transcription network motifs.Dissection of a complex transcriptional response using genome-wide transcriptional modelling.Molecular portrait of cisplatin induced response in human testis cancer cell lines based on gene expression profiles.Targetfinder.org: a resource for systematic discovery of transcription factor target genes.Identifying targets of multiple co-regulating transcription factors from expression time-series by Bayesian model comparison.Attenuation of hemorrhage-associated lung injury by adjuvant treatment with C23, an oligopeptide derived from cold-inducible RNA-binding protein.A cold-inducible RNA-binding protein (CIRP)-derived peptide attenuates inflammation and organ injury in septic mice.Thermodynamics-based models of transcriptional regulation with gene sequence.Gaussian Process Inference for Differential Equation Models of Transcriptional Regulation

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P2860

Ranked prediction of p53 targets using hidden variable dynamic modeling.

http://www.wikidata.org/entity/Q35012892

description

2006 nî lūn-bûn

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2006 թուականի Մարտին հրատարակուած գիտական յօդուած

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2006 թվականի մարտին հրատարակված գիտական հոդված

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2006年の論文

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2006年論文

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2006年論文

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2006年論文

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2006年論文

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2006年論文

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2006年论文

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Ranked prediction of p53 targets using hidden variable dynamic modeling.

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Ranked prediction of p53 targets using hidden variable dynamic modeling.

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Ranked prediction of p53 targets using hidden variable dynamic modeling.

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Ranked prediction of p53 targets using hidden variable dynamic modeling.

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prefLabel

Ranked prediction of p53 targets using hidden variable dynamic modeling.

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Ranked prediction of p53 targets using hidden variable dynamic modeling.

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Ranked prediction of p53 targets using hidden variable dynamic modeling.

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Daniel Brewer

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Daniela Tomescu

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Jaroslav Stark

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Martino Barenco

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Michael Hubank

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Robin Callard

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P2860

PA26, a novel target of the p53 tumor suppressor and member of the GADD family of DNA damage and growth arrest inducible genes

Improving the statistical detection of regulated genes from microarray data using intensity-based variance estimation

Engineering gene networks to emulate Drosophila embryonic pattern formation.

The limit fold change model: a practical approach for selecting differentially expressed genes from microarray data.

Quantitative inference of dynamic regulatory pathways via microarray data

A simple method for statistical analysis of intensity differences in microarray-derived gene expression data

Dynamic modeling of cis-regulatory circuits and gene expression prediction via cross-gene identification.

Dissection of a DNA-damage-induced transcriptional network using a combination of microarrays, RNA interference and computational promoter analysis

Transcriptional regulatory networks in Saccharomyces cerevisiae

A system for stable expression of short interfering RNAs in mammalian cells

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