Author

Mathieu d’Aquin

Ollscoil na Gaillimhe – University of GalwayORCID 0000-0001-7276-4702Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:multiome· 1

Frequent Co-Authors

Alokkumar JhaiD· 1 shared Ratnesh SahayiD· 1 shared Yasar KhaniD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Alokkumar JhaORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJul 14, 2020

Metastatic Site Prediction in Breast Cancer using Kirchhoff's Law and Omics Knowledge Graph

Alokkumar Jha, Yasar Khan, Ratnesh Sahay, Mathieu d’Aquin

This paper introduces Kirchhoff Knowledge Graphs (K-KG) to predict metastatic sites in breast cancer using multi-omics data, achieving high AUC and F1 scores.

8 citations

humanbulk RNA-seq

𝕏 PostBluesky