Author

Wenfei Du

Stanford 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 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Approach:matrix factorization· 1 Approach:statistical model· 1

Frequent Co-Authors

Anandi KrishnaniD· 1 shared Cecelia PerkinsiD· 1 shared Christopher C. ChangiD· 1 shared Holden Terry MaeckeriD· 1 shared James L. ZehnderiD· 1 shared Jason R. GotlibiD· 1 shared Jesse W. RowleyiD· 1 shared Junyang Qian· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenomics

Anandi KrishnanORCID

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2 papers

Recent·Most cited

Platelet transcriptome yields progressive markers in chronic myeloproliferative neoplasms and identifies putative targets of therapy

Zhu Shen, Wenfei Du, Cecelia Perkins, Lenn Fechter, Vanita S. Natu, Holden Terry Maecker, Jesse W. Rowley, Jason R. Gotlib, James L. Zehnder, Anandi Krishnan

The paper identifies platelet transcriptome markers for predicting disease progression in MPNs and develops a machine learning model to predict advanced MF with high accuracy.

Blood · Nov 5, 2021Peer-reviewedGenomics

A Fast and Scalable Framework for Large-scale and Ultrahigh-dimensional Sparse Regression with Application to the UK Biobank

Junyang Qian, Yosuke Tanigawa, Wenfei Du, Matthew Aguirre, Christopher C. Chang, Robert John Tibshirani, Manuel A. Rivas, Trevor J. Hastie

This paper introduces a scalable framework for sparse regression on large-scale data, demonstrating improved prediction performance on UK Biobank traits using the BASIL method and snpnet package.

PLoS Genetics · Oct 23, 2020Peer-reviewedBioinformatics