Author

Matthew A. Wyczalkowski

Washington University in St. LouisORCID 0000-0003-4197-551XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:scRNA-seq· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1

Frequent Co-Authors

Li DingiD· 3 shared Andrew HoustoniD· 2 shared Daniel Cui ZhouiD· 2 shared Kazuhito SatoiD· 2 shared Michael C. WendliD· 2 shared Reyka G. JayasingheiD· 2 shared Ruiyang LiuiD· 2 shared Stephen T. OhiD· 2 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersGenomics

Li DingORCID

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3 papers

Recent·Most cited

GenomicsNature CancerPeer-reviewedJan 9, 2026

A single-cell atlas characterizes dysregulation of the bone marrow immune microenvironment associated with outcomes in multiple myeloma

William Pilcher, Lijun Yao, Edgar Gonzalez‐Kozlova…·Manoj Bhasin

The paper characterizes immune microenvironment dysregulation in multiple myeloma using single-cell data and links it to disease progression and patient outcomes.

37 citationstop 1%

humanscRNA-seq

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Cancer BiologyNature CancerPeer-reviewedOct 30, 2024

Differential chromatin accessibility and transcriptional dynamics define breast cancer subtypes and their lineages

Michael D. Iglesia, Reyka G. Jayasinghe, Siqi Chen…·Li Ding

This study identifies breast cancer subtypes and their lineage origins by analyzing chromatin accessibility and transcriptional dynamics using multi-omic techniques.

47 citationstop 2%

humanbulk RNA-seq

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BioinformaticsNature CommunicationsPeer-reviewedApr 19, 2021

Spatially Interacting Phosphorylation Sites and Mutations in Cancer

Kuan‐lin Huang, Adam David Scott, Daniel Cui Zhou…·Li Ding

The paper introduces HotPho, a tool that identifies 3D co-clustering of phosphosites and cancer mutations on protein structures, revealing 474 hybrid clusters with potential functional significance.

24 citations

proteomicsstatistical model

𝕏 PostBluesky