Pages that link to "Q33595683"

The following pages link to Learning transcriptional networks from the integration of ChIP-chip and expression data in a non-parametric model (Q33595683):

Displaying 11 items.

• A model-based approach to identify binding sites in CLIP-Seq data (Q30796706) (← links)
• Flexible model-based clustering of mixed binary and continuous data: application to genetic regulation and cancer (Q31150084) (← links)
• LLM3D: a log-linear modeling-based method to predict functional gene regulatory interactions from genome-wide expression data (Q33851077) (← links)
• Cell-type specificity of ChIP-predicted transcription factor binding sites (Q34365955) (← links)
• Sexually-dimorphic targeting of functionally-related genes in COPD (Q34728356) (← links)
• Passing messages between biological networks to refine predicted interactions (Q34760883) (← links)
• Finding New Order in Biological Functions from the Network Structure of Gene Annotations (Q35847146) (← links)
• Computational methodology for ChIP-seq analysis (Q38367824) (← links)
• Implications of functional similarity for gene regulatory interactions (Q38498600) (← links)
• Estimating Gene Regulatory Networks with pandaR. (Q38882706) (← links)
• Modeling regulatory cascades using Artificial Neural Networks: the case of transcriptional regulatory networks shaped during the yeast stress response (Q41962991) (← links)