INBIA: a boosting methodology for proteomic network inference.

ABSTRACT:

Background

The analysis of tissue-specific protein interaction networks and their functional enrichment in pathological and normal tissues provides insights on the etiology of diseases. The Pan-cancer proteomic project, in The Cancer Genome Atlas, collects protein expressions in human cancers and it is a reference resource for the functional study of cancers. However, established protocols to infer interaction networks from protein expressions are still missing.

Results

We have developed a methodology called Inference Network Based on iRefIndex Analysis (INBIA) to accurately correlate proteomic inferred relations to protein-protein interaction (PPI) networks. INBIA makes use of 14 network inference methods on protein expressions related to 16 cancer types. It uses as referen

SUBMITTER: Sardina DS 

PROVIDER: S-EPMC6069689 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature