Author

K.-A. Do

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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Microbiology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Organism:human· 2 Assay:metabolomics· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1

Frequent Co-Authors

L. Zhang· 2 shared Y. Shi· 2 shared A. C. Frenk Oquendo· 1 shared A. M. Alousi· 1 shared A. Maitra· 1 shared A. N. Brown· 1 shared A. Swennes· 1 shared B. E. Heckel· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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Curved chords = mutual co-authorship

2 shared papersMicrobiology

L. Zhang

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Integrated spatial transcriptomics and lipidomics of precursor lesions of pancreatic cancer identifies enrichment of long chain sulfatide biosynthesis as an early metabolic alteration

M. Sans, Y. Chen, F. I. Thege, R. Dou, J. Min, M. Yip-Schneider, J. Zhang, R. Wu, E. Irajizad, Y. Makino, K. I. Rajapakshe, M. W. Hurd, R. A. Leon, J. Vykoukal, J. B. Dennison, , J. F. Fahrmann

bioRxiv · Aug 14, 2023 · PreprintCancer Biology

Diet-derived metabolites and mucus link the gut microbiome to fever after cytotoxic cancer treatment

Z. Schwabkey, D. Wiesnoski, C.-C. Chang, W.-B. Tsai, D. Pham, S. S. Ahmed, T. Hayase, M. R. Ortega Turrubiates, R. K. El-Himri, C. A. Sanchez, E. Hayase, A. C. Frenk Oquendo, T. Miyama, T. M. Halsey, B. E. Heckel, , E. J. Shpall

The paper links diet-derived metabolites and mucus to fever after cytotoxic cancer treatment by showing how Akkermansia muciniphila affects colonic mucus and inflammation.

bioRxiv · Sep 18, 2021Microbiology

Performance Determinants of Unsupervised Clustering Methods for Microbiome Data

Y. Shi, L. Zhang, C. Peterson, K.-A. Do, R. Jenq

The paper evaluates clustering methods for microbiome data, identifies scenarios where specific metrics underperform, and proposes a combined metric that improves performance across datasets.

bioRxiv · Apr 8, 2021Microbiology