Author

Wei Qiu

University of Washington

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

Same name, identified by ORCID

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Su‐In LeeiD· 2 shared Aayush Prakash· 1 shared Abdul Muntakim RafiiD· 1 shared Alexandra CochoitiD· 1 shared Andigoni MalousiiD· 1 shared Andreas Fønss MølleriD· 1 shared Andrey S. Lando· 1 shared Aquene N. ReidiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersNeuroscience

Su‐In LeeORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Genetic risk implicating endolysosomal network genes correlates with endolysosomal dysfunction across neural cell types in Alzheimer's disease

Shannon E. Rose, Katherine E. Prater, Sainath Mamde, Isabelle Smith, Yu Fan Lin, Alexandra Cochoit, Aquene N. Reid, Corbin S.C. Johnson, Wei Qiu, Samuel D. Strohbehn, Catilin S. Latimer, C. Dirk Keene, Su‐In Lee, Kevin Z. Lin, Bradley A. Rolf, , Suman Jayadev

This study shows that genetic risk variants in endolysosomal network genes correlate with endolysosomal dysfunction in neural cells in Alzheimer's disease.

bioRxiv · Mar 16, 2025 · PreprintNeuroscience

Evaluation and optimization of sequence-based gene regulatory deep learning models

Abdul Muntakim Rafi, Daria Nogina, Dmitry Penzar, Dohoon Lee, Danyeong Lee, N. S. KIM, Sangyeup Kim, Dohyeon Kim, Yeojin Shin, Il‐Youp Kwak, Georgy Meshcheryakov, Andrey S. Lando, Arsenii O. Zinkevich, Byeongchan Kim, Juhyun Lee, , Carl G. de Boer

The paper evaluates and optimizes sequence-based gene regulatory deep learning models using a DREAM Challenge dataset, showing improvements through architectural and training strategy refinements.

Nature Biotechnology · Oct 11, 2024Peer-reviewedGenomics

Isolating structured salient variations in single-cell transcriptomic data with StrastiveVI

Wei Qiu, Ethan Weinberger, Su‐In Lee

StrastiveVI isolates aging and Alzheimer's disease-associated patterns in scRNA-seq data by separating them from sex, tissue, and cell type variations.

bioRxiv · Oct 6, 2023 · PreprintBioinformatics