Pages that link to "Item:Q1010400"
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The following pages link to Cluster analysis using multivariate normal mixture models to detect differential gene expression with microarray data (Q1010400):
Displaying 11 items.
- Discrimination and scoring using small sets of genes for two-sample microarray data (Q876057) (← links)
- Adaptive clustering for time series: application for identifying cell cycle expressed genes (Q961284) (← links)
- A mixture model approach for the analysis of small exploratory microarray experiments (Q961306) (← links)
- Distribution modeling and simulation of gene expression data (Q961324) (← links)
- Developing a feature weight self-adjustment mechanism for a K-means clustering algorithm (Q1023820) (← links)
- Multivariate approach for selecting sets of differentially expressed genes (Q1602586) (← links)
- A mixture model approach for the analysis of microarray gene expression data. (Q1608619) (← links)
- Identification of target clusters by using the restricted normal mixture model (Q5128984) (← links)
- A whale optimization algorithm (WOA) approach for clustering (Q5193269) (← links)
- Mixture Model on the Variance for the Differential Analysis of Gene Expression Data (Q5757736) (← links)
- Penalized maximum likelihood estimator for finite multivariate skew normal mixtures (Q6067489) (← links)