Pages that link to "Q30882944"
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The following pages link to Inferring gene networks from time series microarray data using dynamic Bayesian networks (Q30882944):
Displaying 50 items.
- Current Challenges in Glioblastoma: Intratumour Heterogeneity, Residual Disease, and Models to Predict Disease Recurrence (Q26774502) (← links)
- Reverse engineering and identification in systems biology: strategies, perspectives and challenges (Q27012931) (← links)
- Anticancer efficacy of a supramolecular complex of a 2-diethylaminoethyl-dextran-MMA graft copolymer and paclitaxel used as an artificial enzyme (Q28083180) (← links)
- Network Inference and Biological Dynamics (Q28282481) (← links)
- A novel network model identified a 13-gene lung cancer prognostic signature (Q28388627) (← links)
- Systems Approach to Identifying Relevant Pathways from Phenotype Information in Dose-Dependent Time Series Microarray Data (Q28393899) (← links)
- Integrating external biological knowledge in the construction of regulatory networks from time-series expression data (Q30557880) (← links)
- Inference of dynamic networks using time-course data (Q30630970) (← links)
- ENNET: inferring large gene regulatory networks from expression data using gradient boosting (Q30682179) (← links)
- Bayesian network prior: network analysis of biological data using external knowledge. (Q30692229) (← links)
- Investigating the effects of imputation methods for modelling gene networks using a dynamic bayesian network from gene expression data (Q30827685) (← links)
- Augmenting microarray data with literature-based knowledge to enhance gene regulatory network inference (Q30830622) (← links)
- Inferring dynamic gene regulatory networks in cardiac differentiation through the integration of multi-dimensional data (Q30936220) (← links)
- Inferring Broad Regulatory Biology from Time Course Data: Have We Reached an Upper Bound under Constraints Typical of In Vivo Studies? (Q30953287) (← links)
- Validation of alternative methods of data normalization in gene co-expression studies (Q30977172) (← links)
- Piecewise multivariate modelling of sequential metabolic profiling data (Q31147103) (← links)
- A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data (Q33205902) (← links)
- Uncovering gene regulatory networks from time-series microarray data with variational Bayesian structural expectation maximization (Q33321777) (← links)
- Inferring transcriptional compensation interactions in yeast via stepwise structure equation modeling (Q33321982) (← links)
- Inferring gene regulatory networks by thermodynamic modeling (Q33373559) (← links)
- Reverse engineering gene regulatory network from microarray data using linear time-variant model (Q33528255) (← links)
- A top-performing algorithm for the DREAM3 gene expression prediction challenge (Q33530103) (← links)
- Inference of gene regulatory networks using time-series data: a survey (Q33535230) (← links)
- Inferring cluster-based networks from differently stimulated multiple time-course gene expression data (Q33540104) (← links)
- Gene regulatory networks modelling using a dynamic evolutionary hybrid (Q33542807) (← links)
- Modeling genome-wide dynamic regulatory network in mouse lungs with influenza infection using high-dimensional ordinary differential equations (Q33572880) (← links)
- Toward the dynamic interactome: it's about time (Q33605065) (← links)
- Constructing non-stationary Dynamic Bayesian Networks with a flexible lag choosing mechanism (Q33718610) (← links)
- Using dynamic gene module map analysis to identify targets that modulate free fatty acid induced cytotoxicity (Q33762164) (← links)
- The complexity of gene expression dynamics revealed by permutation entropy. (Q33777542) (← links)
- Inferring cell cycle feedback regulation from gene expression data (Q33817671) (← links)
- Novel application of multi-stimuli network inference to synovial fibroblasts of rheumatoid arthritis patients (Q33904120) (← links)
- Integration of gene expression data with prior knowledge for network analysis and validation. (Q34085061) (← links)
- Stability of building gene regulatory networks with sparse autoregressive models. (Q34175138) (← links)
- Listen to genes: dealing with microarray data in the frequency domain (Q34321043) (← links)
- Modeling dynamic regulatory processes in stroke (Q34446615) (← links)
- Systematic identification of transcriptional and post-transcriptional regulations in human respiratory epithelial cells during influenza A virus infection (Q34873625) (← links)
- Improved inference of gene regulatory networks through integrated Bayesian clustering and dynamic modeling of time-course expression data (Q34918095) (← links)
- Algorithmic and analytical methods in network biology (Q34921401) (← links)
- Fast Bayesian inference for gene regulatory networks using ScanBMA. (Q35151163) (← links)
- Hybrid-controlled neurofuzzy networks analysis resulting in genetic regulatory networks reconstruction. (Q35362125) (← links)
- A Novel Knowledge-Driven Systems Biology Approach for Phenotype Prediction upon Genetic Intervention (Q35536232) (← links)
- Bioinformatics tools in predictive ecology: applications to fisheries (Q35572339) (← links)
- Computational identification of novel microRNAs and their targets in the malarial vector, Anopheles stephensi (Q35593967) (← links)
- A novel procedure for statistical inference and verification of gene regulatory subnetwork (Q35624716) (← links)
- Gene regulatory network inference using PLS-based methods (Q36235039) (← links)
- A scalable algorithm for structure identification of complex gene regulatory network from temporal expression data (Q36265761) (← links)
- Modeling Gene Networks in Saccharomyces cerevisiae Based on Gene Expression Profiles (Q36454389) (← links)
- Revealing the complexity of health determinants in resource-poor settings (Q36606629) (← links)
- Understanding endothelial cell apoptosis: what can the transcriptome, glycome and proteome reveal? (Q36737050) (← links)