Author

Philipp Erhart

University Hospital HeidelbergORCID 0000-0002-4964-2448Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Assay:scRNA-seq· 2 Research Focus:cell type annotation· 1 Assay:metagenomics· 1

Frequent Co-Authors

Dittmar BöckleriD· 2 shared Jia XingiD· 2 shared Jian ZhangiD· 2 shared Yanshuo HaniD· 2 shared Yuchen HeiD· 2 shared Han JiangiD· 1 shared Han Jiang· 1 shared Lun YuiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersCell Biology

Dittmar BöcklerORCID

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2 papers

Recent·Most cited

Cell BiologybioRxivPreprintMay 5, 2024

FKBP11 targeted plasma cells promote abdominal aortic aneurysm progression through an m6A-dependent mechanism

Yuchen He, Jia Xing, Shiyue Wang…·Jian Zhang

This study identifies FKBP11's role in AAA progression via m6A-dependent mechanisms using multi-omics and machine learning.

DOI 10.1101/2024.05.05.592616

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 25, 2023

Integrative analysis of multi-omics and machine learning highlighted an m6A-related mRNA signature as a robust AAA progression predictor

Yuchen He, Jia Xing, Shiyue Wang…·Jian Zhang

The paper develops an m6A-related mRNA signature using multi-omics and machine learning to predict AAA progression and identifies FKBP11 as a key gene.

DOI 10.1101/2023.09.25.559437

𝕏 PostBluesky