Endocrinology in the multi-omics era

Smadar Shilo, Eran Segal

Research output: Contribution to journalArticlepeer-review

Abstract

Over the past decade, technological advances have enabled cost-efficient, high-throughput analysis of different types of omics data in large human cohorts. Here, we explore insights into the pathophysiology of metabolic disorders revealed through multi-omics studies, discuss novel computational analysis techniques and look at the field’s future directions.
Original languageEnglish
Pages (from-to)73-74
Number of pages2
JournalNature Reviews Endocrinology
Volume20
Issue number2
Early online date5 Dec 2023
DOIs
StatePublished - Feb 2024

All Science Journal Classification (ASJC) codes

  • Endocrinology
  • Endocrinology, Diabetes and Metabolism

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