Protocol for Discovering Convergent Molecular Networks across Multi-Omics Datasets Using Network Propagation

Abstract

Phenotypic outcomes arise from coordinated changes across molecular layers. Although multi-omics data capture complementary molecular signals, integrating them into coherent biological mechanisms remains challenging due to limited overlap at the gene level. Network propagation maps significant gene hits from each dataset onto a prior knowledge molecular interaction network and diffuses their signals to neighboring genes. Mathematical integration of propagated networks, followed by clustering and pathway enrichment, reveals shared molecular networks, pinpointing the core biology captured across orthogonal molecular layers.

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BibTeX RIS

BibTeX

@misc{olwal2026protocol,
  title = {{Protocol for Discovering Convergent Molecular Networks across Multi-Omics Datasets Using Network Propagation}},
  author = {Charles O. Olwal and Declan M. Winters and Immy A. Ashley and Valerie Vandersall and Amberin Rahman and Alexandra Lindsey Djomkam Zune and Kyla F. Dangerfield and Yennifer Delgado and Sara K. Makanani and Sophie F. Blanc and Shipra Sharma and Mehdi Bouhaddou},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.01142},
  eprint = {2610.01142},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.01142},
  note = {CC BY 4.0},
}

RIS

TY  - UNPB
TI  - Protocol for Discovering Convergent Molecular Networks across Multi-Omics Datasets Using Network Propagation
AU  - Charles O. Olwal
AU  - Declan M. Winters
AU  - Immy A. Ashley
AU  - Valerie Vandersall
AU  - Amberin Rahman
AU  - Alexandra Lindsey Djomkam Zune
AU  - Kyla F. Dangerfield
AU  - Yennifer Delgado
AU  - Sara K. Makanani
AU  - Sophie F. Blanc
AU  - Shipra Sharma
AU  - Mehdi Bouhaddou
PY  - 2026
DA  - 2026/10/01
PB  - arXiv
DO  - 10.48550/arxiv.2610.01142
UR  - https://arxiv.org/abs/2610.01142
AB  - Phenotypic outcomes arise from coordinated changes across molecular layers. Although multi-omics data capture complementary molecular signals, integrating them into coherent biological mechanisms remains challenging due to limited overlap at the gene level. Network propagation maps significant gene hits from each dataset onto a prior knowledge molecular interaction network and diffuses their signals to neighboring genes. Mathematical integration of propagated networks, followed by clustering and pathway enrichment, reveals shared molecular networks, pinpointing the core biology captured across orthogonal molecular layers.
ER  -

Abstract

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