Method

Multi-omics datasets

Integrated datasets combining two or more molecular data layers—such as genomics, transcriptomics, proteomics, epigenomics, and metabolomics—from the same samples for cross-layer analysis.

AI-generated definition

Scholars using this

View all 17 scholars →

CE
Christopher E MasonWorldQuant Professor of Genomics and Computational Biomedicine
CE
Christopher E MasonWorldQuant Professor of Genomics and Computational Biomedicine
JS
Joseph ScarpaAssistant Professor of Anesthesiology
JS
Joseph ScarpaAssistant Professor of Anesthesiology
ND
Natalia De Marco GarciaAssociate Professor of Neuroscience
ND
Natalia De Marco GarciaAssociate Professor of Neuroscience
LE
Lukas Edward DowProfessor of Biochemistry in Medicine
LE
Lukas Edward DowProfessor of Biochemistry in Medicine
KS
Karsten SuhreProfessor of Systems and Computational Biomedicine
KS
Karsten SuhreProfessor of Systems and Computational Biomedicine
OE
Olivier ElementoDirector of the Englander Institute for Precision Medicine
OE
Olivier ElementoDirector of the Englander Institute for Precision Medicine

Spotlight

Multi-omics datasets

KCKevan ChuJSJinru Shia RYRona Yaeger LELukas Edward Dow

Cancer cell · 2026

Multi-omics datasets

JKJangKeun Kim CMCem Meydan CEChristopher E Mason

Genes · 2025

Multi-omics datasets

JMJason Michael Link

Nature cancer · 2025

View all 19 publications →

Multi-omics datasets

Scholars using this

Spotlight

Publications

Publications

Multi-omics datasets

Scholars using this

Concurrent genetic and non-genetic resistance mechanisms to KRAS inhibition in colorectal cancer.

Genomic Analysis of Cardiovascular Diseases Utilizing Space Omics and Medical Atlas.

Ongoing replication stress tolerance and clonal T cell responses distinguish liver and lung recurrence and outcomes in pancreatic cancer.