Pages that link to "Item:Q669073"
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The following pages link to Bayesian state-space modeling in gene expression data analysis: an application with biomarker prediction (Q669073):
Displaying 10 items.
- Bayesian state space models for dynamic genetic network construction across multiple tissues (Q309414) (← links)
- Joint modeling of longitudinal and time-to-event data on multivariate protein biomarkers (Q2195902) (← links)
- Application of state-space model with skew-\(t\) measurement noise to blood test value prediction (Q2240304) (← links)
- A novel matched-pairs feature selection method considering with tumor purity for differential gene expression analyses (Q2328387) (← links)
- A weight function method for selection of proteins to predict an outcome using protein expression data (Q2656115) (← links)
- Time-course data prediction for repeatedly measured gene expression (Q4966922) (← links)
- Dynamic logistic state space prediction model for clinical decision making (Q6079844) (← links)
- Handling missingness value on jointly measured time-course and time-to-event data (Q6171283) (← links)
- Censored imputation of time to event outcome through survival proximity score method (Q6582060) (← links)
- Classification algorithm for high-dimensional protein markers in time-course data (Q6629887) (← links)
