Single-sample network modeling on omics data

Margherita De Marzio; Kimberly Glass; Marieke L Kuijjer

doi:10.1186/s12915-023-01783-z

Single-sample network modeling on omics data

BMC Biol. 2023 Dec 29;21(1):296. doi: 10.1186/s12915-023-01783-z.

Authors

Margherita De Marzio¹, Kimberly Glass^{2

3}, Marieke L Kuijjer⁴

Affiliations

¹ Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medicine School, Boston, MA, USA.
² Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medicine School, Boston, MA, USA. [email protected].
³ Biostatistics Department, Harvard Chan School of Public Health, Boston, MA, USA. [email protected].
⁴ Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo, Oslo, Norway. [email protected].

Abstract

Modeling networks for single samples can facilitate discoveries in biology that go beyond those found when analyzing an “aggregate” network, i.e., one that merges information across all the samples in an omics data set. In this commentary article, we discuss the history, current state, and future directions of the field of single-sample network modeling using omics data.

Single-sample network modeling on omics data

Authors

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Abstract

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Grants and funding