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Titel:

Correlation guided Network Integration (CoNI) reveals novel genes affecting hepatic metabolism.

Dokumenttyp:
Article; Journal Article
Autor(en):
Klaus, Valentina S; Schriever, Sonja C; Monroy Kuhn, José Manuel; Peter, Andreas; Irmler, Martin; Tokarz, Janina; Prehn, Cornelia; Kastenmüller, Gabi; Beckers, Johannes; Adamski, Jerzy; Königsrainer, Alfred; Müller, Timo D; Heni, Martin; Tschöp, Matthias H; Pfluger, Paul T; Lutter, Dominik
Abstract:
OBJECTIVE: Technological advances have brought a steady increase in the availability of various types of omics data, from genomics to metabolomics. Integrating these multi-omics data is a chance and challenge for systems biology; yet, tools to fully tap their potential remain scarce. METHODS: We present here a fully unsupervised and versatile correlation-based method - termed Correlation guided Network Integration (CoNI) - to integrate multi-omics data into a hypergraph structure that allows fo...     »
Zeitschriftentitel:
Mol Metab
Jahr:
2021
Band / Volume:
53
Volltext / DOI:
doi:10.1016/j.molmet.2021.101295
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/34271221
TUM Einrichtung:
Lehrstuhl für Stoffwechselerkrankungen (Prof. Tschöp)
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