Author

ANDREAS W. SCHREIBER

South Australia PathologyORCID 0000-0002-9081-3405Unclaimed 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:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein structure prediction· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Anna L BrowniD· 1 shared Christopher Norman HahniD· 1 shared Claire C. HomaniD· 1 shared David LawrenceiD· 1 shared Elvira Deolinda Rodrigues Pereira VellosoiD· 1 shared Erika Kim· 1 shared Gregory J. GoodalliD· 1 shared Hamish S. ScottiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperGenetics

Anna L BrownORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Clonal hematopoiesis in individuals with ANKRD26 or ETV6 germline mutations

Michael William Drazer, Claire C. Homan, Kai Yu, Marcela Cavalcante de Andrade Silva, Kelsey E. McNeely, Matthew J. Pozsgai, Maria Acevedo, Jeremy P. Segal, Peng Wang, Jinghua Feng, Sarah L. King‐Smith, Erika Kim, Sophia C. Korotev, David Lawrence, ANDREAS W. SCHREIBER, , Lucy A. Godley

This study examines clonal hematopoiesis risk in individuals with germline ANKRD26 or ETV6 mutations, finding that ANKRD26 carriers have elevated risk while ETV6 carriers do not.

bioRxiv · Nov 17, 2021 · PreprintGenetics

A novel single-cell based method for breast cancer prognosis

Xiaomei Li, Lin Liu, Gregory J. Goodall, ANDREAS W. SCHREIBER, Taosheng Xu, Jiuyong Li, Thuc Duy Le

This paper introduces scPrognosis, a method using scRNA-seq data to improve breast cancer prognosis by analyzing EMT-related gene expression dynamics, outperforming bulk RNA-seq based methods.

PLoS Computational Biology · Aug 24, 2020Peer-reviewedBioinformatics