Author

Shanrong Zhao

Pfizer (United States)

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· 3

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:experimental assay· 2 Research Focus:software / tool· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Baohong ZhangiD· 2 shared Aaron M. Smith· 1 shared Charles K. FisheriD· 1 shared Chi Zhang· 1 shared Craig B. DavisiD· 1 shared Daniel Ziemek· 1 shared Isaac Neuhaus· 1 shared John Long· 1 shared

Activity by Year

2018-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersBioinformatics

Baohong ZhangORCID

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3 papers

Recent·Most cited

Deep Learning of Representations for Transcriptomics-based Phenotype Prediction

Aaron M. Smith, Jonathan R. Walsh, John Long, Craig B. Davis, Peter V. Henstock, Martin R. Hodge, Mateusz Maciejewski, Xinmeng Jasmine Mu, Stephen Ra, Shanrong Zhao, Daniel Ziemek, Charles K. Fisher

The paper evaluates representation learning techniques for transcriptomics-based phenotype prediction using public data and finds that l2-regularized regression on centered log-ratio transformed abundances performs best.

bioRxiv · Mar 15, 2019 · PreprintBioinformatics

canvasXpress: A versatile interactive high-resolution scientific multi-panel visualization toolkit

Baohong Zhang, Shanrong Zhao, Isaac Neuhaus

The paper introduces canvasXpress, an interactive visualization toolkit for scientific and genomics data, highlighting its features and real-world applications in bioinformatics.

Bioinformatics · May 2, 2018Peer-reviewedBioinformatics

QuickRNASeq: Guide For Pipeline Implementation And For Interactive Results Visualization

Wen He, Shanrong Zhao, Chi Zhang, Michael S. Vincent, Baohong Zhang

QuickRNASeq provides a pipeline for RNA-seq analysis and interactive visualization of results, automating tools to generate user-friendly reports.

Methods in molecular biology · Jan 1, 2018Peer-reviewedBioinformatics