Author

Nicasia Beebe-Wang

University of WashingtonORCID 0000-0001-7031-2665Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:benchmarking· 1 Approach:statistical model· 1

Frequent Co-Authors

Safiye ÇelikiD· 2 shared Su‐In LeeiD· 2 shared Ethan WeinbergeriD· 1 shared Pascal Sturmfels· 1 shared Philip L. De JageriD· 1 shared Sara MostafaviiD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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2 shared papersSystems Biology

Safiye ÇelikORCID

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2 papers

Recent·Most cited

Systems BiologyNature CommunicationsPeer-reviewedSep 10, 2021

Unified AI framework to uncover deep interrelationships between gene expression and Alzheimer's disease neuropathologies

Nicasia Beebe-Wang, Safiye Çelik, Ethan Weinberger…·Su‐In Lee

The paper introduces MD-AD, a deep learning framework that identifies non-linear gene expression-neuropathology relationships in Alzheimer's disease using multi-cohort data, revealing sex-specific immune response patterns.

21 citations

humanbulk RNA-seq

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Systems BiologybioRxivPreprintMay 27, 2018

MD-AD: Multi-task deep learning for Alzheimer’s disease neuropathology

Nicasia Beebe-Wang, Safiye Çelik, Su‐In Lee

MD-AD improves prediction of Alzheimer's disease hallmarks and staging systems by combining heterogeneous datasets with multi-task deep learning.

3 citations

humanbulk RNA-seq

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