Author

Aline Paixão Becker

The Ohio State UniversityORCID 0000-0002-8695-810XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:multiome· 1

Frequent Co-Authors

Amy WebbiD· 1 shared Arnab ChakravartiiD· 1 shared Clary B. ClishiD· 1 shared Ewy A. MathéiD· 1 shared Jany ChaniD· 1 shared Jessica Ann Lasky-SuiD· 1 shared Jessica L. FlemingiD· 1 shared Joseph Paul McElroy· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Amy WebbORCID

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1 paper

Recent·Most cited

Finding Salient Multi-Omic Interactomes Relevant to Multiple Biomedical Outcomes using Graph Ensemble Neural Networks

Tara Eicher, Jany Chan, Aline Paixão Becker, Saikh Jaharul Haque, Jessica L. Fleming, Joseph Paul McElroy, Wei Meng, Amy Webb, Rachel S. Kelly, Juan Carlos Celedon, Clary B. Clish, Robert Edgardo Gerszten, Michael J. McGeachie, Scott T. Weiss, Jessica Ann Lasky-Su, , Raghu Machiraju

This paper introduces GENN, a method for multi-omic interactome analysis that improves prediction of biomedical outcomes by learning salient associations in a low-dimensional space.

bioRxiv · Dec 28, 2024 · PreprintBioinformatics