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A unified framework for multiomics deconvolution

delete2026-03-02
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PRE
AI
X
Xiaoyu Wang
李富义 cover
李富义 (Fuyi Li)
R
Robin B. Gasser
J
Jiangning Song *
DOI：10.1038/s41592-026-03008-xdelete
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Abstract

Abstract

En 中文
The new algorithm DECODE transcends the limitations of omics-specific methods, and provides a unified framework for the deconvolution of transcriptomic, proteomic and metabolomic datasets.
Keywords:
Computational models
Machine learning
Life Sciences
general
Biological Techniques
Biological Microscopy
Biomedical Engineering/Biotechnology
Bioinformatics
Proteomics

Journal

Nature Methods cover
Nature Methods
IF:
32.1
Papers:
7.2K
Citations:
12.7W

Organization

U
University of Melbourne
Scholars:
3.2K
Papers: 1.5K
Citations: 9.3W
U
University of Adelaide
Scholars:
2.3W
Papers: 2.4W
Citations: 4.2W
M
monash university
Scholars:
8.4K
Papers: 3.8K
Citations: 0
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