Pages that link to "Item:Q3167858"

The following pages link to Clustering Microarray Data: Theoretical and Practical Issues (Q3167858):

Displaying 25 items.

• Clustering of high throughput gene expression data (Q339649) (← links)
• Algorithmic paradigms for stability-based cluster validity and model selection statistical methods, with applications to microarray data analysis (Q418747) (← links)
• Microarray image segmentation using clustering methods (Q710392) (← links)
• Analysing microarray expression data through effective clustering (Q903620) (← links)
• A tutorial on computational cluster analysis with applications to pattern discovery in microarray data (Q942996) (← links)
• Median correlation for the analysis of gene expression data (Q947418) (← links)
• Cluster validation techniques for genome expression data (Q947419) (← links)
• A spectral clustering method for microarray data (Q957180) (← links)
• Assessing agreement of clustering methods with gene expression microarray data (Q1023916) (← links)
• Consensus clustering: A resampling-based method for class discovery and visualization of gene expression microarray data (Q1402259) (← links)
• Variable selection and pattern recognition with gene expression data generated by the microarray technology (Q1602590) (← links)
• The local maximum clustering method and its application in microarray gene expression data analysis (Q1773693) (← links)
• Cluster structure inference based on clustering stability with applications to microarray data analysis (Q1773694) (← links)
• Multi-class clustering and prediction in the analysis of microarray data (Q1776767) (← links)
• Problems in gene clustering based on gene expression data (Q1876980) (← links)
• Algorithmic and complexity issues of three clustering methods in microarray data analysis (Q2384782) (← links)
• Comments on selected fundamental aspects of microarray analysis (Q2490487) (← links)
• Clustering methods in microarrays (Q2568553) (← links)
• Determination of cluster number in clustering microarray data (Q2571967) (← links)
• Clustering of microarray data via clique partitioning (Q2576442) (← links)
• Bootstrapping cluster analysis: Assessing the reliability of conclusions from microarray experi\-ments. (Q2733923) (← links)
• Wilks' \(\Lambda \) dissimilarity measures for gene clustering: an approach based on the identification of transcription modules (Q2893380) (← links)
• Weighted clustering of called array CGH data (Q3526177) (← links)
• Integrating Functional Knowledge during Sample Clustering for Microarray Data using Unsupervised Decision Trees (Q5122914) (← links)
• Tight Clustering: A Resampling‐Based Approach for Identifying Stable and Tight Patterns in Data (Q5714643) (← links)