Author

Nyelia F. Willaims

The Ohio State University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:metagenomics· 1

Frequent Co-Authors

Anjun MaiD· 1 shared Bingqiang LiuiD· 1 shared Daniel J. SpakowicziD· 1 shared Dong XuiD· 1 shared Jiangjiang ZhuiD· 1 shared Qin MaiD· 1 shared Rebecca HoydiD· 1 shared Shiqi ZhangiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Anjun MaORCID

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1 paper

Recent·Most cited

An explainable graph neural framework to identify cancer-associated intratumoral microbial communities

Zhaoqian Liu, Yuhan Sun, Yingjie Li, Anjun Ma, Nyelia F. Willaims, Shiva Jahanbahkshi, Rebecca Hoyd, Xiaoying Wang, Shiqi Zhang, Jiangjiang Zhu, Dong Xu, Daniel J. Spakowicz, Qin Ma, Bingqiang Liu

This paper introduces MICAH, a graph neural network framework that identifies cancer-associated microbial communities in intratumoral microbiome data across five cancer types.

Advanced Science · Sep 3, 2024Peer-reviewedBioinformatics