Pages that link to "Item:Q1402259"

The following pages link to Consensus clustering: A resampling-based method for class discovery and visualization of gene expression microarray data (Q1402259):

Displaying 25 items.

• Characterization of lung tumor subtypes through gene expression cluster validity assessment (Q3431434) (← links)
• Estimation of Graphical Models through Structured Norm Minimization (Q4558541) (← links)
• Stability Selection (Q4632639) (← links)
• Significance test of clustering under high dimensional setting with applications to cancer data (Q4960768) (← links)
• Bayesian cluster ensembles (Q4969749) (← links)
• Shrinkage Clustering: A Fast and Size-Constrained Algorithm for Biomedical Applications (Q5111805) (← links)
• Clustering time-course microarray data using functional Bayesian infinite mixture model (Q5126932) (← links)
• (Q5176404) (← links)
• Data Integration in the Life Sciences (Q5308715) (← links)
• Discovery Science (Q5464538) (← links)
• Tight Clustering: A Resampling‐Based Approach for Identifying Stable and Tight Patterns in Data (Q5714643) (← links)
• Bayesian predictive modeling for genomic based personalized treatment selection (Q5739285) (← links)
• Integrating Multidimensional Data for Clustering Analysis With Applications to Cancer Patient Data (Q5857118) (← links)
• Determinantal consensus clustering (Q6062809) (← links)
• A statistical framework for non-negative matrix factorization based on generalized dual divergence (Q6078762) (← links)
• Randomized singular value decomposition for integrative subtype analysis of `omics data' using non-negative matrix factorization (Q6144031) (← links)
• Derandomizing Knockoffs (Q6165283) (← links)
• Locating \(\gamma\)-ray sources on the celestial sphere via modal clustering (Q6580626) (← links)
• A convergence diagnostic for Bayesian clustering (Q6602121) (← links)
• Constrained clustering: current and new trends (Q6602261) (← links)
• Integrative clustering methods for multi-omics data (Q6602356) (← links)
• Stability estimation for unsupervised clustering: a review (Q6602377) (← links)
• Explaining the optimistic performance evaluation of newly proposed methods: a cross-design validation experiment (Q6625380) (← links)
• Clustering validation by distribution hypothesis learning (Q6643233) (← links)
• Leave-one-out singular subspace perturbation analysis for spectral clustering (Q6656609) (← links)