Poster Open Access

CoDON: a learning framework for linking genomics and transcriptomics data to protein expression

Manica, Matteo; Mathis, Roland; Martinez Rodriguez, Maria

Motivation

• Explain the protein expression profiles through the integration of genomic and transcriptomic data
• Link different data types in the context of complex diseases
• Wide range of applications (e.g.: multi-omics perturbation analysis)

Aims

• Reconstruct proteins profiles from different data layers using a common learning framework
• Understand how different omic datasets can be combined in a common reduced representation
• Decipher highly non-linear molecular interactions

Files (5.1 MB)
Name Size
20160901SystemsXDay_CoDON.pdf
md5:5765c4068984376fcaddfeebfe434a85
5.1 MB Download

Share

Cite as