Pages that link to "Item:Q3111185"
From MaRDI portal
The following pages link to A Statistical Framework for the Analysis of ChIP-Seq Data (Q3111185):
Displaying 13 items.
- A simulation framework for correlated count data of features subsets in high-throughput sequencing or proteomics experiments (Q521444) (← links)
- A unified statistical framework for single cell and bulk RNA sequencing data (Q1647646) (← links)
- A Bayesian mixture model for chromatin interaction data (Q2258449) (← links)
- Inference of finite mixture models and the effect of binning (Q2325034) (← links)
- Spatio-temporal model for multiple ChIP-seq experiments (Q2344259) (← links)
- A fully Bayesian hidden Ising model for ChIP-seq data analysis (Q2893222) (← links)
- A statistical framework for eQTL mapping using RNA-seq data (Q2893975) (← links)
- A new approach for the joint analysis of multiple ChIP-Seq libraries with application to histone modification (Q2921248) (← links)
- PICS: Probabilistic Inference for ChIP-seq (Q3008874) (← links)
- A Bayesian Graphical Model for ChIP-Seq Data on Histone Modifications (Q4916928) (← links)
- Improved detection of epigenomic marks with mixed‐effects hidden Markov models (Q5121062) (← links)
- Bayesian analysis for mixtures of discrete distributions with a non-parametric component (Q5138085) (← links)
- Statistical method for modeling sequencing data from different technologies in longitudinal studies with application to Huntington disease (Q6071002) (← links)
