https://github.com/cmkobel/properomics
Link tendencies across multiple omics layers using principal components
Science Score: 36.0%
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Low similarity (4.6%) to scientific vocabulary
Repository
Link tendencies across multiple omics layers using principal components
Basic Info
- Host: GitHub
- Owner: cmkobel
- License: gpl-3.0
- Default Branch: main
- Size: 15.6 KB
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- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files
README.md
properomics
Link tendencies across multiple omics layers using principal components.
Properomics orders samples on principal components, and correlates the ordering across several omic-layers.
This pipeline is a generalization of the workflow used in https://www.biorxiv.org/content/10.1101/2024.12.05.626740v1
Workflow
- Input validation
- Transform
- Filter
- (Optional: Statistics)
- Principal Component Analysis and sample ordering
- Correlation across omic-layers
Input
Properomics is designed to handle any type of properomic setup. This means that you need at least two independent omic layers. The omic layers can be identical on the molecular level (transcriptomics-transcriptomcs) as long as they're from different sample locations. (Needs more generalization)
metadata.tsv:
samples (n in N) x factors (f in F)
Owner
- Name: Carl Mathias Kobel
- Login: cmkobel
- Kind: user
- Company: Norges Miljø- & Biovitenskapelige Universitet
- Website: https://orcid.org/0000-0002-4461-1159
- Repositories: 49
- Profile: https://github.com/cmkobel
PhD-fellow in the MEMO group at NMBU.
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