Pages that link to "Item:Q5700521"

The following pages link to A General Framework for Weighted Gene Co-Expression Network Analysis (Q5700521):

Displaying 50 items.

• Matrix positivity preservers in fixed dimension. I (Q291760) (← links)
• Sparse factor model for co-expression networks with an application using prior biological knowledge (Q306641) (← links)
• Identification of consistent functional genetic modules (Q306654) (← links)
• Clustering of high throughput gene expression data (Q339649) (← links)
• A method for generating realistic correlation matrices (Q386759) (← links)
• Retaining positive definiteness in thresholded matrices (Q414695) (← links)
• Complete characterization of Hadamard powers preserving Loewner positivity, monotonicity, and convexity (Q486581) (← links)
• Anesthetic propofol-induced gene expression changes in patients undergoing coronary artery bypass graft surgery based on dynamical differential coexpression network analysis (Q519629) (← links)
• The sparse Laplacian shrinkage estimator for high-dimensional regression (Q651021) (← links)
• Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping (Q714367) (← links)
• Local dependency in networks (Q747482) (← links)
• Critical exponents of graphs (Q899490) (← links)
• Network assisted analysis to reveal the genetic basis of autism (Q902933) (← links)
• Statistical analysis of weighted networks (Q937010) (← links)
• Simulating weighted, directed small-world networks (Q979306) (← links)
• On dynamic network security: a random decentering algorithm on graphs (Q1617065) (← links)
• Investigating the relationship between \(k\)-core and \(s\)-core network decompositions (Q1619251) (← links)
• Topology association analysis in weighted protein interaction network for gene prioritization (Q1619790) (← links)
• Sequential double cross-validation for assessment of added predictive ability in high-dimensional omic applications (Q1621008) (← links)
• Nonparametric Bayesian learning of heterogeneous dynamic transcription factor networks (Q1621019) (← links)
• Estimating a common covariance matrix for network meta-analysis of gene expression datasets in diffuse large B-cell lymphoma (Q1621047) (← links)
• A network approach to quantifying radiotherapy effect on cancer: radiosensitive gene group centrality (Q1717367) (← links)
• Topology of whole-brain functional MRI networks: improving the truncated scale-free model (Q1782811) (← links)
• Robust network-based analysis of the associations between (epi)genetic measurements (Q1795573) (← links)
• Social cohesion, structural holes, and a tale of two measures (Q1953120) (← links)
• In defense of the indefensible: a very naïve approach to high-dimensional inference (Q2075709) (← links)
• Sparse Laplacian shrinkage with the graphical Lasso estimator for regression problems (Q2125484) (← links)
• Inference of genetic regulatory networks with regulatory hubs using vector autoregressions and automatic relevance determination with model selections (Q2170542) (← links)
• Optimal rates for community estimation in the weighted stochastic block model (Q2176614) (← links)
• Review on statistical methods for gene network reconstruction using expression data (Q2260287) (← links)
• A co-expression modules based gene selection for cancer recognition (Q2260293) (← links)
• Clustering coefficients of large networks (Q2292961) (← links)
• Meta-analytic framework for modeling genetic coexpression dynamics (Q2324963) (← links)
• Asymptotic inference for high-dimensional data (Q2380091) (← links)
• Two-stage feature selection for classification of gene expression data based on an improved salp swarm algorithm (Q2694136) (← links)
• Partial correlation matrix estimation using ridge penalty followed by thresholding and re-estimation (Q2927635) (← links)
• Efficient Computation of the Weighted Clustering Coefficient (Q2945270) (← links)
• A panorama of positivity. II: Fixed dimension (Q3295975) (← links)
• Topology dependent epidemic spreading velocity in weighted networks (Q3301853) (← links)
• Multiple Response Regression for Gaussian Mixture Models with Known Labels (Q4969864) (← links)
• TGCnA: temporal gene coexpression network analysis using a low-rank plus sparse framework (Q5037038) (← links)
• (Q5054582) (← links)
• The cluster correlation-network support vector machine for high-dimensional binary classification (Q5107375) (← links)
• Structure of triadic relations in multiplex networks (Q5144034) (← links)
• Preserving positivity for rank-constrained matrices (Q5267966) (← links)
• (Q5283647) (← links)
• Comparison of Different Generalizations of Clustering Coefficient and Local Efficiency for Weighted Undirected Graphs (Q5380647) (← links)
• Functions preserving positive definiteness for sparse matrices (Q5496595) (← links)
• Efficient computation of the Weighted Clustering Coefficient (Q5856442) (← links)
• Network-based survival analysis to discover target genes for developing cancer immunotherapies and predicting patient survival (Q5861604) (← links)